Merge branch 'dev'

RandomX fixes

CHANGELOG.md

@@ -1,90 +1,41 @@
-# v4.3.0-beta
+# v5.1.0
+- [#1351](https://github.com/xmrig/xmrig/pull/1351) RandomX optimizations and fixes.
+  - Improved RandomX performance (up to +6-7% on Intel CPUs, +2-3% on Ryzen CPUs)
+  - Added workaround for Intel JCC erratum bug see https://www.phoronix.com/scan.php?page=article&item=intel-jcc-microcode&num=1 for details.
+  - Note! Always disable "Hardware prefetcher" and "Adjacent cacheline prefetch" in BIOS for Intel CPUs to get the optimal RandomX performance.
+- [#1307](https://github.com/xmrig/xmrig/issues/1307) Fixed mining resume after donation round for pools with `self-select` feature.
+- [#1318](https://github.com/xmrig/xmrig/issues/1318#issuecomment-559676080) Added option `"mode"` (or `--randomx-mode`) for RandomX.
+  - Added memory information on miner startup.
+  - Added `resources` field to summary API with memory information and load average.
+
+# v5.0.1
+- [#1234](https://github.com/xmrig/xmrig/issues/1234) Fixed compatibility with some AMD GPUs.
+- [#1284](https://github.com/xmrig/xmrig/issues/1284) Fixed build without RandomX.
+- [#1285](https://github.com/xmrig/xmrig/issues/1285) Added command line options `--cuda-bfactor-hint` and `--cuda-bsleep-hint`.
+- [#1290](https://github.com/xmrig/xmrig/pull/1290) Fixed 32-bit ARM compilation.
+
+# v5.0.0
+This version is first stable unified 3 in 1 GPU+CPU release, OpenCL support built in in miner and not require additional external dependencies on compile time, NVIDIA CUDA available as external [CUDA plugin](https://github.com/xmrig/xmrig-cuda), for convenient, 3 in 1 downloads with recent CUDA version also provided.
+
+This release based on 4.x.x series and include all features from v4.6.2-beta, changelog below include only the most important changes, [full changelog](doc/CHANGELOG_OLD.md) available separately.
+
+- [#1272](https://github.com/xmrig/xmrig/pull/1272) Optimized hashrate calculation.
+- [#1263](https://github.com/xmrig/xmrig/pull/1263) Added new option `dataset_host` for NVIDIA GPUs with less than 4 GB memory (RandomX only).
+- [#1068](https://github.com/xmrig/xmrig/pull/1068) Added support for `self-select` stratum protocol extension.
 - [#1227](https://github.com/xmrig/xmrig/pull/1227) Added new algorithm `rx/arq`, RandomX variant for upcoming ArQmA fork.
 - [#808](https://github.com/xmrig/xmrig/issues/808#issuecomment-539297156) Added experimental support for persistent memory for CPU mining threads.
 - [#1221](https://github.com/xmrig/xmrig/issues/1221) Improved RandomX dataset memory usage and initialization speed for NUMA machines.
-
-# v4.2.1-beta
-- [#1150](https://github.com/xmrig/xmrig/issues/1150) Fixed build on FreeBSD.
 - [#1175](https://github.com/xmrig/xmrig/issues/1175) Fixed support for systems where total count of NUMA nodes not equal usable nodes count.
-- [#1199](https://github.com/xmrig/xmrig/issues/1199) Fixed excessive memory allocation for OpenCL threads with low intensity.
-- [#1212](https://github.com/xmrig/xmrig/issues/1212) Fixed low RandomX performance after fast algorithm switching.
-
-# v4.2.0-beta
-- [#1202](https://github.com/xmrig/xmrig/issues/1202) Fixed algorithm verification in donate strategy.
-- Added per pool option `coin` with single possible value `monero` for pools without algorithm negotiation, for upcoming Monero fork.
 - Added config option `cpu/max-threads-hint` and command line option `--cpu-max-threads-hint`.
-
-# v4.1.0-beta
-- **OpenCL backend disabled by default.**.
-- [#1183](https://github.com/xmrig/xmrig/issues/1183) Fixed compatibility with systemd.
 - [#1185](https://github.com/xmrig/xmrig/pull/1185) Added JIT compiler for RandomX on ARMv8.
 - Improved API endpoint `GET /2/backends` and added support for this endpoint to [workers.xmrig.info](http://workers.xmrig.info).
 - Added command line option `--no-cpu` to disable CPU backend.
 - Added OpenCL specific command line options: `--opencl`, `--opencl-devices`, `--opencl-platform`, `--opencl-loader` and `--opencl-no-cache`.
+- Added CUDA specific command line options: `--cuda`, `--cuda-loader` and `--no-nvml`.
 - Removed command line option `--http-enabled`, HTTP API enabled automatically if any other `--http-*` option provided.
-
-# v4.0.1-beta
-- [#1177](https://github.com/xmrig/xmrig/issues/1177) Fixed compatibility with old AMD drivers.
-- [#1180](https://github.com/xmrig/xmrig/issues/1180) Fixed possible duplicated shares after algorithm switching.
-- Added support for case if not all backend threads successfully started.
-- Fixed wrong config file permissions after write (only gcc builds on recent Windows 10 affected).
-
-# v4.0.0-beta
 - [#1172](https://github.com/xmrig/xmrig/issues/1172) **Added OpenCL mining backend.**
   - [#268](https://github.com/xmrig/xmrig-amd/pull/268) [#270](https://github.com/xmrig/xmrig-amd/pull/270) [#271](https://github.com/xmrig/xmrig-amd/pull/271) [#273](https://github.com/xmrig/xmrig-amd/pull/273) [#274](https://github.com/xmrig/xmrig-amd/pull/274) [#1171](https://github.com/xmrig/xmrig/pull/1171) Added RandomX support for OpenCL, thanks [@SChernykh](https://github.com/SChernykh).
 - Algorithm `cn/wow` removed, as no longer alive. 
 
-# v3.2.0
-- Added per pool option `coin` with single possible value `monero` for pools without algorithm negotiation, for upcoming Monero fork.
-- [#1183](https://github.com/xmrig/xmrig/issues/1183) Fixed compatibility with systemd.
-
-# v3.1.3
-- [#1180](https://github.com/xmrig/xmrig/issues/1180) Fixed possible duplicated shares after algorithm switching.
-- Fixed wrong config file permissions after write (only gcc builds on recent Windows 10 affected).
-
-# v3.1.2
-- Many RandomX optimizations and fixes.
-  - [#1132](https://github.com/xmrig/xmrig/issues/1132) Fixed build on CentOS 7.
-  - [#1163](https://github.com/xmrig/xmrig/pull/1163) Optimized soft AES code, up to +30% hashrate on CPU without AES support and other optimizations.
-  - [#1166](https://github.com/xmrig/xmrig/pull/1166) Fixed crash when initialize dataset with big threads count (eg 272).
-  - [#1168](https://github.com/xmrig/xmrig/pull/1168) Optimized loading from scratchpad.
-- [#1128](https://github.com/xmrig/xmrig/issues/1128) Fixed CMake 2.8 compatibility.
-
-# v3.1.1
-- [#1133](https://github.com/xmrig/xmrig/issues/1133) Fixed syslog regression.
-- [#1138](https://github.com/xmrig/xmrig/issues/1138) Fixed multiple network bugs.
-- [#1141](https://github.com/xmrig/xmrig/issues/1141) Fixed log in background mode.
-- [#1142](https://github.com/xmrig/xmrig/pull/1142) RandomX hashrate improved by 0.5-1.5% depending on variant and CPU.
-- [#1146](https://github.com/xmrig/xmrig/pull/1146) Fixed race condition in RandomX thread init.
-- [#1148](https://github.com/xmrig/xmrig/pull/1148) Fixed, on Linux linker marking entire executable as having an executable stack.
-- Fixed, for Argon2 algorithms command line options like `--threads` was ignored.
-- Fixed command line options for single pool, free order allowed again.
-
-# v3.1.0
-- [#1107](https://github.com/xmrig/xmrig/issues/1107#issuecomment-522235892) Added Argon2 algorithm family: `argon2/chukwa` and `argon2/wrkz`.
-
-# v3.0.0
-- **[#1111](https://github.com/xmrig/xmrig/pull/1111) Added RandomX (`rx/test`) algorithm for testing and benchmarking.**
-- **[#1036](https://github.com/xmrig/xmrig/pull/1036) Added RandomWOW (`rx/wow`) algorithm for [Wownero](http://wownero.org/).**
-- **[#1050](https://github.com/xmrig/xmrig/pull/1050) Added RandomXL (`rx/loki`) algorithm for [Loki](https://loki.network/).**
-- **[#1077](https://github.com/xmrig/xmrig/issues/1077) Added NUMA support via hwloc**.
-- **Added flexible [multi algorithm](doc/CPU.md) configuration.**
-- **Added unlimited switching between incompatible algorithms, all mining options can be changed in runtime.**
-- [#257](https://github.com/xmrig/xmrig-nvidia/pull/257) New logging subsystem, file and syslog now always without colors.
-- [#314](https://github.com/xmrig/xmrig-proxy/issues/314) Added donate over proxy feature.
-- [#1007](https://github.com/xmrig/xmrig/issues/1007) Old HTTP API backend based on libmicrohttpd, replaced to custom HTTP server (libuv + http_parser).
-- [#1010](https://github.com/xmrig/xmrig/pull/1010#issuecomment-482632107) Added daemon support (solo mining).
-- [#1066](https://github.com/xmrig/xmrig/issues/1066#issuecomment-518080529) Added error message if pool not ready for RandomX.
-- [#1105](https://github.com/xmrig/xmrig/issues/1105) Improved auto configuration for `cn-pico` algorithm.
-- Added commands `pause` and `resume` via JSON RPC 2.0 API (`POST /json_rpc`).
-- Added command line option `--export-topology` for export hwloc topology to a XML file.
-- Breaked backward compatibility with previous configs and command line, `variant` option replaced to `algo`, global option `algo` removed, all CPU related settings moved to `cpu` object.
-- Options `av`, `safe` and `max-cpu-usage` removed.
-- Algorithm `cn/msr` renamed to `cn/fast`.
-- Algorithm `cn/xtl` removed.
-- API endpoint `GET /1/threads` replaced to `GET /2/backends`.
-- Added global uptime and extended connection information in API.
-- API now return current algorithm.
-
 # Previous versions
 [doc/CHANGELOG_OLD.md](doc/CHANGELOG_OLD.md)

CMakeLists.txt

@@ -15,6 +15,8 @@ option(WITH_TLS             "Enable OpenSSL support" ON)
 option(WITH_ASM             "Enable ASM PoW implementations" ON)
 option(WITH_EMBEDDED_CONFIG "Enable internal embedded JSON config" OFF)
 option(WITH_OPENCL          "Enable OpenCL backend" ON)
+option(WITH_CUDA            "Enable CUDA backend" ON)
+option(WITH_NVML            "Enable NVML (NVIDIA Management Library) support (only if CUDA backend enabled)" ON)
 option(WITH_STRICT_CACHE    "Enable strict checks for OpenCL cache" ON)
 option(WITH_INTERLEAVE_DEBUG_LOG "Enable debug log for threads interleave" OFF)
 

README.md

@@ -9,19 +9,15 @@
 [![GitHub stars](https://img.shields.io/github/stars/xmrig/xmrig.svg)](https://github.com/xmrig/xmrig/stargazers)
 [![GitHub forks](https://img.shields.io/github/forks/xmrig/xmrig.svg)](https://github.com/xmrig/xmrig/network)
 
-XMRig is a high performance RandomX and CryptoNight CPU miner, with official support for Windows.
+XMRig High performance, open source, cross platform RandomX, CryptoNight and Argon2 CPU/GPU miner, with official support for Windows.
 
-* This is the **CPU-mining** version, there is also a [NVIDIA GPU version](https://github.com/xmrig/xmrig-nvidia) and [AMD GPU version]( https://github.com/xmrig/xmrig-amd).
+## Mining backends
+- **CPU** (x64/x86/ARM)
+- **OpenCL** for AMD GPUs.
+- **CUDA** for NVIDIA GPUs via external [CUDA plugin](https://github.com/xmrig/xmrig-cuda).
 
 <img src="doc/screenshot.png" width="808" >
 
-#### Table of contents
-* [Download](#download)
-* [Usage](#usage)
-* [Build](https://github.com/xmrig/xmrig/wiki/Build)
-* [Donations](#donations)
-* [Contacts](#contacts)
-
 ## Download
 * Binary releases: https://github.com/xmrig/xmrig/releases
 * Git tree: https://github.com/xmrig/xmrig.git
@@ -30,6 +26,9 @@ XMRig is a high performance RandomX and CryptoNight CPU miner, with official sup
 ## Usage
 The preferred way to configure the miner is the [JSON config file](src/config.json) as it is more flexible and human friendly. The command line interface does not cover all features, such as mining profiles for different algorithms. Important options can be changed during runtime without miner restart by editing the config file or executing API calls.
 
+* **[xmrig.com/wizard](https://xmrig.com/wizard)** helps you create initial configuration for the miner.
+* **[workers.xmrig.info](http://workers.xmrig.info)** helps manage your miners via HTTP API.
+
 ### Command line options
 ```
 Network:
@@ -64,6 +63,7 @@ CPU backend:
       --asm=ASM                 ASM optimizations, possible values: auto, none, intel, ryzen, bulldozer
       --randomx-init=N          threads count to initialize RandomX dataset
       --randomx-no-numa         disable NUMA support for RandomX
+      --randomx-mode=MODE       RandomX mode: auto, fast, light
 
 API:
       --api-worker-id=ID        custom worker-id for API
@@ -75,15 +75,25 @@ API:
 
 OpenCL backend:
       --opencl                  enable OpenCL mining backend
-      --opencl-devices=N        list of OpenCL devices to use
+      --opencl-devices=N        comma separated list of OpenCL devices to use
       --opencl-platform=N       OpenCL platform index or name
-      --opencl-loader=N         path to OpenCL-ICD-Loader (OpenCL.dll or libOpenCL.so)
+      --opencl-loader=PATH      path to OpenCL-ICD-Loader (OpenCL.dll or libOpenCL.so)
       --opencl-no-cache         disable OpenCL cache
       --print-platforms         print available OpenCL platforms and exit
 
+CUDA backend:
+      --cuda                    enable CUDA mining backend
+      --cuda-loader=PATH        path to CUDA plugin (xmrig-cuda.dll or libxmrig-cuda.so)
+      --cuda-devices=N          comma separated list of CUDA devices to use
+      --cuda-bfactor-hint=N     bfactor hint for autoconfig (0-12)
+      --cuda-bsleep-hint=N      bsleep hint for autoconfig
+      --no-nvml                 disable NVML (NVIDIA Management Library) support
+
 Logging:
+  -S, --syslog                  use system log for output messages
   -l, --log-file=FILE           log all output to a file
       --print-time=N            print hashrate report every N seconds
+      --health-print-time=N     print health report every N seconds
       --no-color                disable colored output
 
 Misc:

cmake/OpenSSL.cmake

@@ -6,6 +6,8 @@ if (WITH_TLS)
         set(OPENSSL_MSVC_STATIC_RT TRUE)
 
         set(EXTRA_LIBS ${EXTRA_LIBS} Crypt32)
+    elseif (APPLE)
+        set(OPENSSL_USE_STATIC_LIBS TRUE)
     endif()
 
     find_package(OpenSSL)

cmake/flags.cmake

@@ -54,6 +54,8 @@ if (CMAKE_CXX_COMPILER_ID MATCHES GNU)
 
     #set(CMAKE_C_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -gdwarf-2")
 
+    add_definitions(/DHAVE_BUILTIN_CLEAR_CACHE)
+
 elseif (CMAKE_CXX_COMPILER_ID MATCHES MSVC)
 
     set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} /Ox /Ot /Oi /MT /GL")

doc/CHANGELOG_OLD.md

@@ -1,3 +1,116 @@
+# v4.6.2-beta
+- [#1274](https://github.com/xmrig/xmrig/issues/1274) Added `--cuda-devices` command line option.
+- [#1277](https://github.com/xmrig/xmrig/pull/1277) Fixed function names for clang on Apple.
+
+# v4.6.1-beta
+- [#1272](https://github.com/xmrig/xmrig/pull/1272) Optimized hashrate calculation.
+- [#1273](https://github.com/xmrig/xmrig/issues/1273) Fixed crash when use `GET /2/backends` API endpoint with disabled CUDA.
+
+# v4.6.0-beta
+- [#1263](https://github.com/xmrig/xmrig/pull/1263) Added new option `dataset_host` for NVIDIA GPUs with less than 4 GB memory (RandomX only).
+
+# v4.5.0-beta
+- Added NVIDIA CUDA support via external [CUDA plugun](https://github.com/xmrig/xmrig-cuda). XMRig now is unified 3 in 1 miner.
+
+# v4.4.0-beta
+- [#1068](https://github.com/xmrig/xmrig/pull/1068) Added support for `self-select` stratum protocol extension.
+- [#1240](https://github.com/xmrig/xmrig/pull/1240) Sync with the latest RandomX code.
+- [#1241](https://github.com/xmrig/xmrig/issues/1241) Fixed regression with colors on old Windows systems.
+- [#1243](https://github.com/xmrig/xmrig/pull/1243) Fixed incorrect OpenCL memory size detection in some cases.
+- [#1247](https://github.com/xmrig/xmrig/pull/1247) Fixed ARM64 RandomX code alignment.
+- [#1248](https://github.com/xmrig/xmrig/pull/1248) Fixed RandomX code cache cleanup on iOS/Darwin.
+
+# v4.3.1-beta
+- Fixed regression in v4.3.0, miner didn't create `cn` mining profile with default config example.
+
+# v4.3.0-beta
+- [#1227](https://github.com/xmrig/xmrig/pull/1227) Added new algorithm `rx/arq`, RandomX variant for upcoming ArQmA fork.
+- [#808](https://github.com/xmrig/xmrig/issues/808#issuecomment-539297156) Added experimental support for persistent memory for CPU mining threads.
+- [#1221](https://github.com/xmrig/xmrig/issues/1221) Improved RandomX dataset memory usage and initialization speed for NUMA machines.
+
+# v4.2.1-beta
+- [#1150](https://github.com/xmrig/xmrig/issues/1150) Fixed build on FreeBSD.
+- [#1175](https://github.com/xmrig/xmrig/issues/1175) Fixed support for systems where total count of NUMA nodes not equal usable nodes count.
+- [#1199](https://github.com/xmrig/xmrig/issues/1199) Fixed excessive memory allocation for OpenCL threads with low intensity.
+- [#1212](https://github.com/xmrig/xmrig/issues/1212) Fixed low RandomX performance after fast algorithm switching.
+
+# v4.2.0-beta
+- [#1202](https://github.com/xmrig/xmrig/issues/1202) Fixed algorithm verification in donate strategy.
+- Added per pool option `coin` with single possible value `monero` for pools without algorithm negotiation, for upcoming Monero fork.
+- Added config option `cpu/max-threads-hint` and command line option `--cpu-max-threads-hint`.
+
+# v4.1.0-beta
+- **OpenCL backend disabled by default.**.
+- [#1183](https://github.com/xmrig/xmrig/issues/1183) Fixed compatibility with systemd.
+- [#1185](https://github.com/xmrig/xmrig/pull/1185) Added JIT compiler for RandomX on ARMv8.
+- Improved API endpoint `GET /2/backends` and added support for this endpoint to [workers.xmrig.info](http://workers.xmrig.info).
+- Added command line option `--no-cpu` to disable CPU backend.
+- Added OpenCL specific command line options: `--opencl`, `--opencl-devices`, `--opencl-platform`, `--opencl-loader` and `--opencl-no-cache`.
+- Removed command line option `--http-enabled`, HTTP API enabled automatically if any other `--http-*` option provided.
+
+# v4.0.1-beta
+- [#1177](https://github.com/xmrig/xmrig/issues/1177) Fixed compatibility with old AMD drivers.
+- [#1180](https://github.com/xmrig/xmrig/issues/1180) Fixed possible duplicated shares after algorithm switching.
+- Added support for case if not all backend threads successfully started.
+- Fixed wrong config file permissions after write (only gcc builds on recent Windows 10 affected).
+
+# v4.0.0-beta
+- [#1172](https://github.com/xmrig/xmrig/issues/1172) **Added OpenCL mining backend.**
+  - [#268](https://github.com/xmrig/xmrig-amd/pull/268) [#270](https://github.com/xmrig/xmrig-amd/pull/270) [#271](https://github.com/xmrig/xmrig-amd/pull/271) [#273](https://github.com/xmrig/xmrig-amd/pull/273) [#274](https://github.com/xmrig/xmrig-amd/pull/274) [#1171](https://github.com/xmrig/xmrig/pull/1171) Added RandomX support for OpenCL, thanks [@SChernykh](https://github.com/SChernykh).
+- Algorithm `cn/wow` removed, as no longer alive. 
+
+# v3.2.0
+- Added per pool option `coin` with single possible value `monero` for pools without algorithm negotiation, for upcoming Monero fork.
+- [#1183](https://github.com/xmrig/xmrig/issues/1183) Fixed compatibility with systemd.
+
+# v3.1.3
+- [#1180](https://github.com/xmrig/xmrig/issues/1180) Fixed possible duplicated shares after algorithm switching.
+- Fixed wrong config file permissions after write (only gcc builds on recent Windows 10 affected).
+
+# v3.1.2
+- Many RandomX optimizations and fixes.
+  - [#1132](https://github.com/xmrig/xmrig/issues/1132) Fixed build on CentOS 7.
+  - [#1163](https://github.com/xmrig/xmrig/pull/1163) Optimized soft AES code, up to +30% hashrate on CPU without AES support and other optimizations.
+  - [#1166](https://github.com/xmrig/xmrig/pull/1166) Fixed crash when initialize dataset with big threads count (eg 272).
+  - [#1168](https://github.com/xmrig/xmrig/pull/1168) Optimized loading from scratchpad.
+- [#1128](https://github.com/xmrig/xmrig/issues/1128) Fixed CMake 2.8 compatibility.
+
+# v3.1.1
+- [#1133](https://github.com/xmrig/xmrig/issues/1133) Fixed syslog regression.
+- [#1138](https://github.com/xmrig/xmrig/issues/1138) Fixed multiple network bugs.
+- [#1141](https://github.com/xmrig/xmrig/issues/1141) Fixed log in background mode.
+- [#1142](https://github.com/xmrig/xmrig/pull/1142) RandomX hashrate improved by 0.5-1.5% depending on variant and CPU.
+- [#1146](https://github.com/xmrig/xmrig/pull/1146) Fixed race condition in RandomX thread init.
+- [#1148](https://github.com/xmrig/xmrig/pull/1148) Fixed, on Linux linker marking entire executable as having an executable stack.
+- Fixed, for Argon2 algorithms command line options like `--threads` was ignored.
+- Fixed command line options for single pool, free order allowed again.
+
+# v3.1.0
+- [#1107](https://github.com/xmrig/xmrig/issues/1107#issuecomment-522235892) Added Argon2 algorithm family: `argon2/chukwa` and `argon2/wrkz`.
+
+# v3.0.0
+- **[#1111](https://github.com/xmrig/xmrig/pull/1111) Added RandomX (`rx/test`) algorithm for testing and benchmarking.**
+- **[#1036](https://github.com/xmrig/xmrig/pull/1036) Added RandomWOW (`rx/wow`) algorithm for [Wownero](http://wownero.org/).**
+- **[#1050](https://github.com/xmrig/xmrig/pull/1050) Added RandomXL (`rx/loki`) algorithm for [Loki](https://loki.network/).**
+- **[#1077](https://github.com/xmrig/xmrig/issues/1077) Added NUMA support via hwloc**.
+- **Added flexible [multi algorithm](doc/CPU.md) configuration.**
+- **Added unlimited switching between incompatible algorithms, all mining options can be changed in runtime.**
+- [#257](https://github.com/xmrig/xmrig-nvidia/pull/257) New logging subsystem, file and syslog now always without colors.
+- [#314](https://github.com/xmrig/xmrig-proxy/issues/314) Added donate over proxy feature.
+- [#1007](https://github.com/xmrig/xmrig/issues/1007) Old HTTP API backend based on libmicrohttpd, replaced to custom HTTP server (libuv + http_parser).
+- [#1010](https://github.com/xmrig/xmrig/pull/1010#issuecomment-482632107) Added daemon support (solo mining).
+- [#1066](https://github.com/xmrig/xmrig/issues/1066#issuecomment-518080529) Added error message if pool not ready for RandomX.
+- [#1105](https://github.com/xmrig/xmrig/issues/1105) Improved auto configuration for `cn-pico` algorithm.
+- Added commands `pause` and `resume` via JSON RPC 2.0 API (`POST /json_rpc`).
+- Added command line option `--export-topology` for export hwloc topology to a XML file.
+- Breaked backward compatibility with previous configs and command line, `variant` option replaced to `algo`, global option `algo` removed, all CPU related settings moved to `cpu` object.
+- Options `av`, `safe` and `max-cpu-usage` removed.
+- Algorithm `cn/msr` renamed to `cn/fast`.
+- Algorithm `cn/xtl` removed.
+- API endpoint `GET /1/threads` replaced to `GET /2/backends`.
+- Added global uptime and extended connection information in API.
+- API now return current algorithm.
+
 # v2.99.6-beta
 - Added commands `pause` and `resume` via JSON RPC 2.0 API (`POST /json_rpc`).
 - Fixed autoconfig regression (since 2.99.5), mostly `rx/wow` was affected by this bug.

doc/build/CMAKE_OPTIONS.md

@@ -1,5 +1,5 @@
 # CMake options
-This document contains list of useful cmake options.
+**Recent version of this document: https://xmrig.com/docs/miner/cmake-options**
 
 ## Algorithms
 
@@ -21,6 +21,8 @@ This feature add external dependency to libhwloc (1.10.0+) (except MSVC builds).
 * **`-DWITH_TLS=OFF`** disable SSL/TLS support (secure connections to pool). This feature add external dependency to OpenSSL.
 * **`-DWITH_ASM=OFF`** disable assembly optimizations for modern CryptoNight algorithms.
 * **`-DWITH_EMBEDDED_CONFIG=ON`** Enable [embedded](https://github.com/xmrig/xmrig/issues/957) config support.
+* **`-DWITH_OPENCL=OFF`** Disable OpenCL backend.
+* **`-DWITH_CUDA=OFF`** Disable CUDA backend.
 
 ## Debug options
 
@@ -30,7 +32,7 @@ This feature add external dependency to libhwloc (1.10.0+) (except MSVC builds).
 
 ## Special build options
 
-* **`-DXMRIG_DEPS=<path>`** path to precompiled dependensices https://github.com/xmrig/xmrig-deps
+* **`-DXMRIG_DEPS=<path>`** path to precompiled dependencies https://github.com/xmrig/xmrig-deps
 * **`-DARM_TARGET=<number>`** override ARM target, possible values `7` (ARMv7) and `8` (ARMv8).
 * **`-DUV_INCLUDE_DIR=<path>`** custom path to libuv headers.
 * **`-DUV_LIBRARY=<path>`** custom path to libuv library.

doc/gpg_keys/xmrig.asc

@@ -0,0 +1,30 @@
+-----BEGIN PGP PUBLIC KEY BLOCK-----
+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+OdA+H4PU9+fV77XfOY8DtXeS3boUI97ei+4s/mwX/NFC0i8CPXyefxl3WRUBGDOI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+=cIG9
+-----END PGP PUBLIC KEY BLOCK-----

doc/releases/5_0_1/SHA256SUMS

@@ -0,0 +1,5 @@
+6bb1a2e3a0fbca5195be6022f2a9fbff8a353c37c7542e7ab89420cb45b64505  xmrig-5.0.1-gcc-win32.zip
+24dba9ec281acfb2ea2c401ebd0e4e2d1f1ee5fd557da5ff3c7049020c1f78b6  xmrig-5.0.1-gcc-win64.zip
+86d65c6693ec9e35cd7547329580638b85c9eb0cf8383892a1c15199de5b556f  xmrig-5.0.1-msvc-cuda10_1-win64.zip
+0fbfe518b1c4b6993b0f66ff01302626375b15620ccf8f64d6fb97845068ffca  xmrig-5.0.1-msvc-win64.zip
+aa34890738a3494de2fa0e44db346937fea7339852f5f10b5d4655f95e2d8f1f  xmrig-5.0.1-xenial-x64.tar.gz

doc/releases/5_0_1/SHA256SUMS.sig

@@ -0,0 +1,11 @@
+-----BEGIN PGP SIGNATURE-----
+
+iQEzBAABCgAdFiEEmsTOqOZuNaXHzdwbRGpTY4vpRAkFAl3VcsoACgkQRGpTY4vp
+RAm9vQgA1MyTUU2jley2TCYLUzQy2Fffc8fbXYv64r44jbWOjC/6qo2iIlRgPhIc
+oVyPKr5TYS3QjDzCEm8IvozS0YudS6soESbPzqDonboK8pd0K4bsML9TQY2feV7A
+NL5vln0rfVHp1wxLLrQpfBqAgvJUXEyaHece6gFQN79JOGhEo2bHL2NyrOl+FViS
+b2BaMtXq410Fh+XT6ShnOaG/2EuO8ZqSGdCO6A/2LHQw1UY+mZiCvue6P6B06HmB
+WD/urOv38V389v+V+Sp4UlEW6VpBOOjvtChoVWtLt+tKzydrnt2EmoWWWg475pka
+4G6whHuMWS8CTt5/PDhJpvVXNQTIOw==
+=C764
+-----END PGP SIGNATURE-----

scripts/build_deps.sh

@@ -0,0 +1,43 @@
+#!/bin/bash -e
+
+UV_VERSION="1.33.1"
+OPENSSL_VERSION="1.1.1d"
+HWLOC_VERSION="2.1.0"
+
+mkdir deps
+mkdir deps/include
+mkdir deps/lib
+
+mkdir build && cd build
+
+wget https://github.com/libuv/libuv/archive/v${UV_VERSION}.tar.gz
+tar -xzf v${UV_VERSION}.tar.gz
+
+wget https://download.open-mpi.org/release/hwloc/v2.1/hwloc-${HWLOC_VERSION}.tar.bz2
+tar -xjf hwloc-${HWLOC_VERSION}.tar.bz2
+
+wget https://www.openssl.org/source/openssl-${OPENSSL_VERSION}.tar.gz
+tar -xzf openssl-${OPENSSL_VERSION}.tar.gz
+
+cd libuv-${UV_VERSION}
+sh autogen.sh
+./configure --disable-shared
+make -j$(nproc)
+cp -fr include/ ../../deps
+cp .libs/libuv.a ../../deps/lib
+cd ..
+
+cd hwloc-${HWLOC_VERSION}
+./configure --disable-shared --enable-static --disable-io --disable-libudev --disable-libxml2
+make -j$(nproc)
+cp -fr include/ ../../deps
+cp hwloc/.libs/libhwloc.a ../../deps/lib
+cd ..
+
+cd openssl-${OPENSSL_VERSION}
+./config -no-shared -no-asm -no-zlib -no-comp -no-dgram -no-filenames -no-cms
+make -j$(nproc)
+cp -fr include/ ../../deps
+cp libcrypto.a ../../deps/lib
+cp libssl.a ../../deps/lib
+cd ../..

scripts/js/opencl_minify.js

@@ -2,7 +2,8 @@
 
 function opencl_minify(input)
 {
-    let out = input.replace(/\/\*[\s\S]*?\*\/|\/\/.*$/gm, '');  // comments
+    let out = input.replace(/\r/g, '');
+    out = out.replace(/\/\*[\s\S]*?\*\/|\/\/.*$/gm, ''); // comments
     out = out.replace(/^#\s+/gm, '#');        // macros with spaces
     out = out.replace(/\n{2,}/g, '\n');       // empty lines
     out = out.replace(/^\s+/gm, '');          // leading whitespace
@@ -10,7 +11,7 @@ function opencl_minify(input)
 
     let array = out.split('\n').map(line => {
         if (line[0] === '#') {
-            return line
+            return line;
         }
 
         line = line.replace(/, /g, ',');

src/App.cpp

@@ -33,6 +33,7 @@
 #include "base/io/Console.h"
 #include "base/io/log/Log.h"
 #include "base/kernel/Signals.h"
+#include "base/kernel/Platform.h"
 #include "core/config/Config.h"
 #include "core/Controller.h"
 #include "core/Miner.h"
@@ -89,6 +90,8 @@ int xmrig::App::exec()
 
     m_controller->start();
 
+    Platform::setThreadPriority(5);
+
     rc = uv_run(uv_default_loop(), UV_RUN_DEFAULT);
     uv_loop_close(uv_default_loop());
 
@@ -98,29 +101,12 @@ int xmrig::App::exec()
 
 void xmrig::App::onConsoleCommand(char command)
 {
-    switch (command) {
-    case 'h':
-    case 'H':
-        m_controller->miner()->printHashrate(true);
-        break;
-
-    case 'p':
-    case 'P':
-        m_controller->miner()->setEnabled(false);
-        break;
-
-    case 'r':
-    case 'R':
-        m_controller->miner()->setEnabled(true);
-        break;
-
-    case 3:
+    if (command == 3) {
         LOG_WARN("Ctrl+C received, exiting");
         close();
-        break;
-
-    default:
-        break;
+    }
+    else {
+        m_controller->miner()->execCommand(command);
     }
 }
 

src/Summary.cpp

@@ -23,8 +23,8 @@
  */
 
 
-#include <inttypes.h>
-#include <stdio.h>
+#include <cinttypes>
+#include <cstdio>
 #include <uv.h>
 
 
@@ -59,10 +59,10 @@ inline static const char *asmName(Assembly::Id assembly)
 #endif
 
 
-static void print_memory(Config *) {
+static void print_memory(Config *config) {
 #   ifdef _WIN32
     Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") "%s",
-               "HUGE PAGES", VirtualMemory::isHugepagesAvailable() ? GREEN_BOLD("permission granted") : RED_BOLD("unavailable"));
+               "HUGE PAGES", config->cpu().isHugePages() ? (VirtualMemory::isHugepagesAvailable() ? GREEN_BOLD("permission granted") : RED_BOLD("unavailable")) : RED_BOLD("disabled"));
 #   endif
 }
 
@@ -102,6 +102,23 @@ static void print_cpu(Config *)
 }
 
 
+static void print_memory()
+{
+    constexpr size_t oneGiB = 1024U * 1024U * 1024U;
+    const auto freeMem      = static_cast<double>(uv_get_free_memory());
+    const auto totalMem     = static_cast<double>(uv_get_total_memory());
+
+    const double percent = freeMem > 0 ? ((totalMem - freeMem) / totalMem * 100.0) : 100.0;
+
+    Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") CYAN_BOLD("%.1f/%.1f GB") BLACK_BOLD(" (%.0f%%)"),
+               "MEMORY",
+               (totalMem - freeMem) / oneGiB,
+               totalMem / oneGiB,
+               percent
+               );
+}
+
+
 static void print_threads(Config *config)
 {
     Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") WHITE_BOLD("%s%d%%"),
@@ -126,9 +143,9 @@ static void print_threads(Config *config)
 static void print_commands(Config *)
 {
     if (Log::colors) {
-        Log::print(GREEN_BOLD(" * ") WHITE_BOLD("COMMANDS     ") MAGENTA_BOLD("h") WHITE_BOLD("ashrate, ")
-                                                                     MAGENTA_BOLD("p") WHITE_BOLD("ause, ")
-                                                                     MAGENTA_BOLD("r") WHITE_BOLD("esume"));
+        Log::print(GREEN_BOLD(" * ") WHITE_BOLD("COMMANDS     ") MAGENTA_BG(WHITE_BOLD_S "h") WHITE_BOLD("ashrate, ")
+                                                                     MAGENTA_BG(WHITE_BOLD_S "p") WHITE_BOLD("ause, ")
+                                                                     MAGENTA_BG(WHITE_BOLD_S "r") WHITE_BOLD("esume"));
     }
     else {
         Log::print(" * COMMANDS     'h' hashrate, 'p' pause, 'r' resume");
@@ -144,6 +161,7 @@ void xmrig::Summary::print(Controller *controller)
     controller->config()->printVersions();
     print_memory(controller->config());
     print_cpu(controller->config());
+    print_memory();
     print_threads(controller->config());
     controller->config()->pools().print();
 

src/backend/backend.cmake

@@ -1,5 +1,6 @@
 include (src/backend/cpu/cpu.cmake)
 include (src/backend/opencl/opencl.cmake)
+include (src/backend/cuda/cuda.cmake)
 include (src/backend/common/common.cmake)
 
 
@@ -7,10 +8,12 @@ set(HEADERS_BACKEND
     "${HEADERS_BACKEND_COMMON}"
     "${HEADERS_BACKEND_CPU}"
     "${HEADERS_BACKEND_OPENCL}"
+    "${HEADERS_BACKEND_CUDA}"
    )
 
 set(SOURCES_BACKEND
     "${SOURCES_BACKEND_COMMON}"
     "${SOURCES_BACKEND_CPU}"
     "${SOURCES_BACKEND_OPENCL}"
+    "${SOURCES_BACKEND_CUDA}"
    )

src/backend/common/Hashrate.cpp

@@ -47,7 +47,6 @@ inline static const char *format(double h, char *buf, size_t size)
 
 
 xmrig::Hashrate::Hashrate(size_t threads) :
-    m_highest(0.0),
     m_threads(threads)
 {
     m_counts     = new uint64_t*[threads];
@@ -100,30 +99,30 @@ double xmrig::Hashrate::calc(size_t threadId, size_t ms) const
 
     uint64_t earliestHashCount = 0;
     uint64_t earliestStamp     = 0;
-    uint64_t lastestStamp      = 0;
-    uint64_t lastestHashCnt    = 0;
     bool haveFullSet           = false;
 
-    for (size_t i = 1; i < kBucketSize; i++) {
-        const size_t idx = (m_top[threadId] - i) & kBucketMask;
+    const uint64_t timeStampLimit = xmrig::Chrono::highResolutionMSecs() - ms;
+    uint64_t* timestamps = m_timestamps[threadId];
+    uint64_t* counts = m_counts[threadId];
 
-        if (m_timestamps[threadId][idx] == 0) {
+    const size_t idx_start = (m_top[threadId] - 1) & kBucketMask;
+    size_t idx = idx_start;
+
+    uint64_t lastestStamp = timestamps[idx];
+    uint64_t lastestHashCnt = counts[idx];
+
+    do {
+        if (timestamps[idx] < timeStampLimit) {
+            haveFullSet = (timestamps[idx] != 0);
+            if (idx != idx_start) {
+                idx = (idx + 1) & kBucketMask;
+                earliestStamp = timestamps[idx];
+                earliestHashCount = counts[idx];
+            }
             break;
         }
-
-        if (lastestStamp == 0) {
-            lastestStamp = m_timestamps[threadId][idx];
-            lastestHashCnt = m_counts[threadId][idx];
-        }
-
-        if (xmrig::Chrono::highResolutionMSecs() - m_timestamps[threadId][idx] > ms) {
-            haveFullSet = true;
-            break;
-        }
-
-        earliestStamp = m_timestamps[threadId][idx];
-        earliestHashCount = m_counts[threadId][idx];
-    }
+        idx = (idx - 1) & kBucketMask;
+    } while (idx != idx_start);
 
     if (!haveFullSet || earliestStamp == 0 || lastestStamp == 0) {
         return nan("");
@@ -150,15 +149,6 @@ void xmrig::Hashrate::add(size_t threadId, uint64_t count, uint64_t timestamp)
 }
 
 
-void xmrig::Hashrate::updateHighest()
-{
-   double highest = calc(ShortInterval);
-   if (std::isnormal(highest) && highest > m_highest) {
-       m_highest = highest;
-   }
-}
-
-
 const char *xmrig::Hashrate::format(double h, char *buf, size_t size)
 {
     return ::format(h, buf, size);

src/backend/common/Hashrate.h

@@ -53,9 +53,7 @@ public:
     double calc(size_t ms) const;
     double calc(size_t threadId, size_t ms) const;
     void add(size_t threadId, uint64_t count, uint64_t timestamp);
-    void updateHighest();
 
-    inline double highest() const { return m_highest; }
     inline size_t threads() const { return m_threads; }
 
     static const char *format(double h, char *buf, size_t size);
@@ -70,7 +68,6 @@ private:
     constexpr static size_t kBucketSize = 2 << 11;
     constexpr static size_t kBucketMask = kBucketSize - 1;
 
-    double m_highest;
     size_t m_threads;
     uint32_t* m_top;
     uint64_t** m_counts;

src/backend/common/Tags.h

@@ -27,10 +27,15 @@
 #define XMRIG_TAGS_H
 
 
+#include <cstdint>
+
+
 namespace xmrig {
 
 
+const char *backend_tag(uint32_t backend);
 const char *cpu_tag();
+const char *net_tag();
 
 
 #ifdef XMRIG_FEATURE_OPENCL
@@ -38,6 +43,12 @@ const char *ocl_tag();
 #endif
 
 
+#ifdef XMRIG_FEATURE_CUDA
+const char *cuda_tag();
+#endif
+
+
+
 #ifdef XMRIG_ALGO_RANDOMX
 const char *rx_tag();
 #endif

src/backend/common/Threads.cpp

@@ -34,6 +34,11 @@
 #endif
 
 
+#ifdef XMRIG_FEATURE_CUDA
+#   include "backend/cuda/CudaThreads.h"
+#endif
+
+
 namespace xmrig {
 
 
@@ -167,4 +172,8 @@ template class Threads<CpuThreads>;
 template class Threads<OclThreads>;
 #endif
 
+#ifdef XMRIG_FEATURE_CUDA
+template class Threads<CudaThreads>;
+#endif
+
 } // namespace xmrig

src/backend/common/WorkerJob.h

@@ -26,7 +26,7 @@
 #define XMRIG_WORKERJOB_H
 
 
-#include <string.h>
+#include <cstring>
 
 
 #include "base/net/stratum/Job.h"
@@ -47,9 +47,9 @@ public:
     inline uint8_t index() const            { return m_index; }
 
 
-    inline void add(const Job &job, uint64_t sequence, uint32_t reserveCount)
+    inline void add(const Job &job, uint32_t reserveCount, Nonce::Backend backend)
     {
-        m_sequence = sequence;
+        m_sequence = Nonce::sequence(backend);
 
         if (currentJob() == job) {
             return;
@@ -60,7 +60,7 @@ public:
             return;
         }
 
-        save(job, reserveCount);
+        save(job, reserveCount, backend);
     }
 
 
@@ -82,13 +82,15 @@ public:
 
 
 private:
-    inline void save(const Job &job, uint32_t reserveCount)
+    inline void save(const Job &job, uint32_t reserveCount, Nonce::Backend backend)
     {
         m_index           = job.index();
         const size_t size = job.size();
         m_jobs[index()]   = job;
         m_rounds[index()] = 0;
 
+        m_jobs[index()].setBackend(backend);
+
         for (size_t i = 0; i < N; ++i) {
             memcpy(m_blobs[index()] + (i * size), job.blob(), size);
             *nonce(i) = Nonce::next(index(), *nonce(i), reserveCount, job.isNicehash());
@@ -96,7 +98,7 @@ private:
     }
 
 
-    alignas(16) uint8_t m_blobs[2][Job::kMaxBlobSize * N];
+    alignas(16) uint8_t m_blobs[2][Job::kMaxBlobSize * N]{};
     Job m_jobs[2];
     uint32_t m_rounds[2] = { 0, 0 };
     uint64_t m_sequence  = 0;
@@ -126,12 +128,14 @@ inline void xmrig::WorkerJob<1>::nextRound(uint32_t rounds, uint32_t roundSize)
 
 
 template<>
-inline void xmrig::WorkerJob<1>::save(const Job &job, uint32_t reserveCount)
+inline void xmrig::WorkerJob<1>::save(const Job &job, uint32_t reserveCount, Nonce::Backend backend)
 {
     m_index           = job.index();
     m_jobs[index()]   = job;
     m_rounds[index()] = 0;
 
+    m_jobs[index()].setBackend(backend);
+
     memcpy(blob(), job.blob(), job.size());
     *nonce() = Nonce::next(index(), *nonce(), reserveCount, currentJob().isNicehash());
 }

src/backend/common/Workers.cpp

@@ -37,6 +37,11 @@
 #endif
 
 
+#ifdef XMRIG_FEATURE_CUDA
+#   include "backend/cuda/CudaWorker.h"
+#endif
+
+
 namespace xmrig {
 
 
@@ -104,6 +109,11 @@ void xmrig::Workers<T>::start(const std::vector<T> &data)
 
     for (Thread<T> *worker : m_workers) {
         worker->start(Workers<T>::onReady);
+
+        // This sleep is important for optimal caching!
+        // Threads must allocate scratchpads in order so that adjacent cores will use adjacent scratchpads
+        // Sub-optimal caching can result in up to 0.5% hashrate penalty
+        std::this_thread::sleep_for(std::chrono::milliseconds(20));
     }
 }
 
@@ -139,8 +149,6 @@ void xmrig::Workers<T>::tick(uint64_t)
 
         d_ptr->hashrate->add(handle->id(), handle->worker()->hashCount(), handle->worker()->timestamp());
     }
-
-    d_ptr->hashrate->updateHighest();
 }
 
 
@@ -160,7 +168,7 @@ void xmrig::Workers<T>::onReady(void *arg)
     assert(worker != nullptr);
 
     if (!worker || !worker->selfTest()) {
-        LOG_ERR("%s " RED("thread ") RED_BOLD("#%zu") RED(" self-test failed"), T::tag(), worker->id());
+        LOG_ERR("%s " RED("thread ") RED_BOLD("#%zu") RED(" self-test failed"), T::tag(), worker ? worker->id() : 0);
 
         handle->backend()->start(worker, false);
         delete worker;
@@ -217,4 +225,16 @@ template class Workers<OclLaunchData>;
 #endif
 
 
+#ifdef XMRIG_FEATURE_CUDA
+template<>
+xmrig::IWorker *xmrig::Workers<CudaLaunchData>::create(Thread<CudaLaunchData> *handle)
+{
+    return new CudaWorker(handle->id(), handle->config());
+}
+
+
+template class Workers<CudaLaunchData>;
+#endif
+
+
 } // namespace xmrig

src/backend/common/Workers.h

@@ -37,6 +37,11 @@
 #endif
 
 
+#ifdef XMRIG_FEATURE_CUDA
+#   include "backend/cuda/CudaLaunchData.h"
+#endif
+
+
 namespace xmrig {
 
 
@@ -80,6 +85,13 @@ extern template class Workers<OclLaunchData>;
 #endif
 
 
+#ifdef XMRIG_FEATURE_CUDA
+template<>
+IWorker *Workers<CudaLaunchData>::create(Thread<CudaLaunchData> *handle);
+extern template class Workers<CudaLaunchData>;
+#endif
+
+
 } // namespace xmrig
 
 

src/backend/common/interfaces/IBackend.h

@@ -53,6 +53,7 @@ public:
     virtual const Hashrate *hashrate() const                            = 0;
     virtual const String &profileName() const                           = 0;
     virtual const String &type() const                                  = 0;
+    virtual void execCommand(char command)                              = 0;
     virtual void prepare(const Job &nextJob)                            = 0;
     virtual void printHashrate(bool details)                            = 0;
     virtual void setJob(const Job &job)                                 = 0;

src/backend/common/interfaces/IRxStorage.h

@@ -24,6 +24,9 @@
 #define XMRIG_IRXSTORAGE_H
 
 
+#include "crypto/rx/RxConfig.h"
+
+
 #include <cstdint>
 #include <utility>
 
@@ -41,9 +44,9 @@ class IRxStorage
 public:
     virtual ~IRxStorage() = default;
 
-    virtual RxDataset *dataset(const Job &job, uint32_t nodeId) const       = 0;
-    virtual std::pair<uint32_t, uint32_t> hugePages() const                 = 0;
-    virtual void init(const RxSeed &seed, uint32_t threads, bool hugePages) = 0;
+    virtual RxDataset *dataset(const Job &job, uint32_t nodeId) const                               = 0;
+    virtual std::pair<uint32_t, uint32_t> hugePages() const                                         = 0;
+    virtual void init(const RxSeed &seed, uint32_t threads, bool hugePages, RxConfig::Mode mode)    = 0;
 };
 
 

src/backend/cpu/CpuBackend.cpp

@@ -146,10 +146,11 @@ public:
 
     inline void start()
     {
-        LOG_INFO("%s use profile " BLUE_BG(WHITE_BOLD_S " %s ") WHITE_BOLD_S " (" CYAN_BOLD("%zu") WHITE_BOLD(" threads)") " scratchpad " CYAN_BOLD("%zu KB"),
+        LOG_INFO("%s use profile " BLUE_BG(WHITE_BOLD_S " %s ") WHITE_BOLD_S " (" CYAN_BOLD("%zu") WHITE_BOLD(" thread%s)") " scratchpad " CYAN_BOLD("%zu KB"),
                  tag,
                  profileName.data(),
                  threads.size(),
+                 threads.size() > 1 ? "s" : "",
                  algo.l3() / 1024
                  );
 
@@ -210,6 +211,24 @@ public:
 } // namespace xmrig
 
 
+const char *xmrig::backend_tag(uint32_t backend)
+{
+#   ifdef XMRIG_FEATURE_OPENCL
+    if (backend == Nonce::OPENCL) {
+        return ocl_tag();
+    }
+#   endif
+
+#   ifdef XMRIG_FEATURE_CUDA
+    if (backend == Nonce::CUDA) {
+        return cuda_tag();
+    }
+#   endif
+
+    return tag;
+}
+
+
 const char *xmrig::cpu_tag()
 {
     return tag;

src/backend/cpu/CpuBackend.h

@@ -50,6 +50,8 @@ public:
     ~CpuBackend() override;
 
 protected:
+    inline void execCommand(char) override {}
+
     bool isEnabled() const override;
     bool isEnabled(const Algorithm &algorithm) const override;
     const Hashrate *hashrate() const override;

src/backend/cpu/CpuConfig_gen.h

@@ -53,7 +53,7 @@ size_t inline generate<Algorithm::CN>(Threads<CpuThreads> &threads, uint32_t lim
 {
     size_t count = 0;
 
-    count += generate("cn", threads, Algorithm::CN_0, limit);
+    count += generate("cn", threads, Algorithm::CN_1, limit);
 
     if (!threads.isExist(Algorithm::CN_0)) {
         threads.disable(Algorithm::CN_0);

src/backend/cpu/CpuWorker.cpp

@@ -185,8 +185,20 @@ void xmrig::CpuWorker<N>::start()
             consumeJob();
         }
 
+        uint64_t storeStatsMask = 7;
+
+#       ifdef XMRIG_ALGO_RANDOMX
+        bool first = true;
+        uint64_t tempHash[8] = {};
+
+        // RandomX is faster, we don't need to store stats so often
+        if (m_job.currentJob().algorithm().family() == Algorithm::RANDOM_X) {
+            storeStatsMask = 63;
+        }
+#       endif
+
         while (!Nonce::isOutdated(Nonce::CPU, m_job.sequence())) {
-            if ((m_count & 0x7) == 0) {
+            if ((m_count & storeStatsMask) == 0) {
                 storeStats();
             }
 
@@ -196,26 +208,34 @@ void xmrig::CpuWorker<N>::start()
                 break;
             }
 
+            uint32_t current_job_nonces[N];
+            for (size_t i = 0; i < N; ++i) {
+                current_job_nonces[i] = *m_job.nonce(i);
+            }
+
 #           ifdef XMRIG_ALGO_RANDOMX
             if (job.algorithm().family() == Algorithm::RANDOM_X) {
-                randomx_calculate_hash(m_vm->get(), m_job.blob(), job.size(), m_hash);
+                if (first) {
+                    first = false;
+                    randomx_calculate_hash_first(m_vm->get(), tempHash, m_job.blob(), job.size());
+                }
+                m_job.nextRound(kReserveCount, 1);
+                randomx_calculate_hash_next(m_vm->get(), tempHash, m_job.blob(), job.size(), m_hash);
             }
             else
 #           endif
             {
                 fn(job.algorithm())(m_job.blob(), job.size(), m_hash, m_ctx, job.height());
+                m_job.nextRound(kReserveCount, 1);
             }
 
             for (size_t i = 0; i < N; ++i) {
                 if (*reinterpret_cast<uint64_t*>(m_hash + (i * 32) + 24) < job.target()) {
-                    JobResults::submit(job, *m_job.nonce(i), m_hash + (i * 32));
+                    JobResults::submit(job, current_job_nonces[i], m_hash + (i * 32));
                 }
             }
 
-            m_job.nextRound(kReserveCount, 1);
             m_count += N;
-
-            std::this_thread::yield();
         }
 
         consumeJob();
@@ -303,7 +323,7 @@ void xmrig::CpuWorker<N>::consumeJob()
         return;
     }
 
-    m_job.add(m_miner->job(), Nonce::sequence(Nonce::CPU), kReserveCount);
+    m_job.add(m_miner->job(), kReserveCount, Nonce::CPU);
 
 #   ifdef XMRIG_ALGO_RANDOMX
     if (m_job.currentJob().algorithm().family() == Algorithm::RANDOM_X) {

src/backend/cuda/CudaBackend.cpp

@@ -0,0 +1,526 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include <mutex>
+#include <string>
+
+
+#include "backend/cuda/CudaBackend.h"
+#include "backend/common/Hashrate.h"
+#include "backend/common/interfaces/IWorker.h"
+#include "backend/common/Tags.h"
+#include "backend/common/Workers.h"
+#include "backend/cuda/CudaConfig.h"
+#include "backend/cuda/CudaThreads.h"
+#include "backend/cuda/CudaWorker.h"
+#include "backend/cuda/wrappers/CudaDevice.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+#include "base/io/log/Log.h"
+#include "base/net/stratum/Job.h"
+#include "base/tools/Chrono.h"
+#include "base/tools/String.h"
+#include "core/config/Config.h"
+#include "core/Controller.h"
+#include "rapidjson/document.h"
+
+
+#ifdef XMRIG_FEATURE_API
+#   include "base/api/interfaces/IApiRequest.h"
+#endif
+
+
+#ifdef XMRIG_FEATURE_NVML
+#include "backend/cuda/wrappers/NvmlLib.h"
+
+namespace xmrig { static const char *kNvmlLabel = "NVML"; }
+#endif
+
+
+namespace xmrig {
+
+
+extern template class Threads<CudaThreads>;
+
+
+constexpr const size_t oneMiB   = 1024U * 1024U;
+static const char *kLabel       = "CUDA";
+static const char *tag          = GREEN_BG_BOLD(WHITE_BOLD_S " nv  ");
+static const String kType       = "cuda";
+static std::mutex mutex;
+
+
+
+static void printDisabled(const char *label, const char *reason)
+{
+    Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") RED_BOLD("disabled") "%s", label, reason);
+}
+
+
+struct CudaLaunchStatus
+{
+public:
+    inline size_t threads() const { return m_threads; }
+
+    inline bool started(bool ready)
+    {
+        ready ? m_started++ : m_errors++;
+
+        return (m_started + m_errors) == m_threads;
+    }
+
+    inline void start(size_t threads)
+    {
+        m_started         = 0;
+        m_errors          = 0;
+        m_threads         = threads;
+        m_ts              = Chrono::steadyMSecs();
+        CudaWorker::ready = false;
+    }
+
+    inline void print() const
+    {
+        if (m_started == 0) {
+            LOG_ERR("%s " RED_BOLD("disabled") YELLOW(" (failed to start threads)"), tag);
+
+            return;
+        }
+
+        LOG_INFO("%s" GREEN_BOLD(" READY") " threads " "%s%zu/%zu" BLACK_BOLD(" (%" PRIu64 " ms)"),
+                 tag,
+                 m_errors == 0 ? CYAN_BOLD_S : YELLOW_BOLD_S,
+                 m_started,
+                 m_threads,
+                 Chrono::steadyMSecs() - m_ts
+                 );
+    }
+
+private:
+    size_t m_errors     = 0;
+    size_t m_started    = 0;
+    size_t m_threads    = 0;
+    uint64_t m_ts       = 0;
+};
+
+
+class CudaBackendPrivate
+{
+public:
+    inline CudaBackendPrivate(Controller *controller) :
+        controller(controller)
+    {
+        init(controller->config()->cuda());
+    }
+
+
+    void init(const CudaConfig &cuda)
+    {
+        if (!cuda.isEnabled()) {
+            return printDisabled(kLabel, "");
+        }
+
+        if (!CudaLib::init(cuda.loader())) {
+            return printDisabled(kLabel, RED_S " (failed to load CUDA plugin)");
+        }
+
+        runtimeVersion = CudaLib::runtimeVersion();
+        driverVersion  = CudaLib::driverVersion();
+
+        if (!runtimeVersion || !driverVersion || !CudaLib::deviceCount()) {
+            return printDisabled(kLabel, RED_S " (no devices)");
+        }
+
+        if (!devices.empty()) {
+            return;
+        }
+
+        devices = CudaLib::devices(cuda.bfactor(), cuda.bsleep(), cuda.devicesHint());
+        if (devices.empty()) {
+            return printDisabled(kLabel, RED_S " (no devices)");
+        }
+
+        Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") WHITE_BOLD("%s") "/" WHITE_BOLD("%s") BLACK_BOLD("/%s"), kLabel,
+                   CudaLib::version(runtimeVersion).c_str(), CudaLib::version(driverVersion).c_str(), CudaLib::pluginVersion());
+
+#       ifdef XMRIG_FEATURE_NVML
+        if (cuda.isNvmlEnabled()) {
+            if (NvmlLib::init(cuda.nvmlLoader())) {
+                NvmlLib::assign(devices);
+
+                Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") WHITE_BOLD("%s") "/" GREEN_BOLD("%s") " press " MAGENTA_BG(WHITE_BOLD_S "e") " for health report",
+                           kNvmlLabel,
+                           NvmlLib::version(),
+                           NvmlLib::driverVersion()
+                           );
+            }
+            else {
+                printDisabled(kNvmlLabel, RED_S " (failed to load NVML)");
+            }
+        }
+        else {
+            printDisabled(kNvmlLabel, "");
+        }
+#       endif
+
+        for (const CudaDevice &device : devices) {
+            Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") CYAN_BOLD("#%zu") YELLOW(" %s") GREEN_BOLD(" %s ") WHITE_BOLD("%u/%u MHz") " smx:" WHITE_BOLD("%u") " arch:" WHITE_BOLD("%u%u") " mem:" CYAN("%zu/%zu") " MB",
+                       "CUDA GPU",
+                       device.index(),
+                       device.topology().toString().data(),
+                       device.name().data(),
+                       device.clock(),
+                       device.memoryClock(),
+                       device.smx(),
+                       device.computeCapability(true),
+                       device.computeCapability(false),
+                       device.freeMemSize() / oneMiB,
+                       device.globalMemSize() / oneMiB);
+        }
+    }
+
+
+    inline void start(const Job &)
+    {
+        LOG_INFO("%s use profile " BLUE_BG(WHITE_BOLD_S " %s ") WHITE_BOLD_S " (" CYAN_BOLD("%zu") WHITE_BOLD(" thread%s)") " scratchpad " CYAN_BOLD("%zu KB"),
+                 tag,
+                 profileName.data(),
+                 threads.size(),
+                 threads.size() > 1 ? "s" : "",
+                 algo.l3() / 1024
+                 );
+
+        Log::print(WHITE_BOLD("|  # | GPU |  BUS ID |    I |   T |   B | BF |  BS |  MEM | NAME"));
+
+        size_t i = 0;
+        for (const auto &data : threads) {
+            Log::print("|" CYAN_BOLD("%3zu") " |" CYAN_BOLD("%4u") " |" YELLOW(" %7s") " |" CYAN_BOLD("%5d") " |" CYAN_BOLD("%4d") " |"
+                       CYAN_BOLD("%4d") " |" CYAN_BOLD("%3d") " |" CYAN_BOLD("%4d") " |" CYAN("%5zu") " | " GREEN("%s"),
+                       i,
+                       data.thread.index(),
+                       data.device.topology().toString().data(),
+                       data.thread.threads() * data.thread.blocks(),
+                       data.thread.threads(),
+                       data.thread.blocks(),
+                       data.thread.bfactor(),
+                       data.thread.bsleep(),
+                       (data.thread.threads() * data.thread.blocks()) * algo.l3() / oneMiB,
+                       data.device.name().data()
+                       );
+
+                    i++;
+        }
+
+        status.start(threads.size());
+        workers.start(threads);
+    }
+
+
+#   ifdef XMRIG_FEATURE_NVML
+    void printHealth()
+    {
+        for (const auto &device : devices) {
+            const auto health = NvmlLib::health(device.nvmlDevice());
+
+            std::string clocks;
+            if (health.clock && health.memClock) {
+                clocks += " " + std::to_string(health.clock) + "/" + std::to_string(health.memClock) + " MHz";
+            }
+
+            std::string fans;
+            if (!health.fanSpeed.empty()) {
+                for (size_t i = 0; i < health.fanSpeed.size(); ++i) {
+                    fans += " fan" + std::to_string(i) + ":" CYAN_BOLD_S + std::to_string(health.fanSpeed[i]) + "%" CLEAR;
+                }
+            }
+
+            LOG_INFO(CYAN_BOLD("#%u") YELLOW(" %s") MAGENTA_BOLD("%4uW") CSI "1;%um %2uC" CLEAR WHITE_BOLD("%s") "%s",
+                     device.index(),
+                     device.topology().toString().data(),
+                     health.power,
+                     health.temperature < 60 ? 32 : (health.temperature > 85 ? 31 : 33),
+                     health.temperature,
+                     clocks.c_str(),
+                     fans.c_str()
+                     );
+        }
+    }
+#   endif
+
+
+    Algorithm algo;
+    Controller *controller;
+    CudaLaunchStatus status;
+    std::vector<CudaDevice> devices;
+    std::vector<CudaLaunchData> threads;
+    String profileName;
+    uint32_t driverVersion      = 0;
+    uint32_t runtimeVersion     = 0;
+    Workers<CudaLaunchData> workers;
+};
+
+
+} // namespace xmrig
+
+
+const char *xmrig::cuda_tag()
+{
+    return tag;
+}
+
+
+xmrig::CudaBackend::CudaBackend(Controller *controller) :
+    d_ptr(new CudaBackendPrivate(controller))
+{
+    d_ptr->workers.setBackend(this);
+}
+
+
+xmrig::CudaBackend::~CudaBackend()
+{
+    delete d_ptr;
+
+    CudaLib::close();
+
+#   ifdef XMRIG_FEATURE_NVML
+    NvmlLib::close();
+#   endif
+}
+
+
+bool xmrig::CudaBackend::isEnabled() const
+{
+    return d_ptr->controller->config()->cuda().isEnabled() && CudaLib::isInitialized() && !d_ptr->devices.empty();;
+}
+
+
+bool xmrig::CudaBackend::isEnabled(const Algorithm &algorithm) const
+{
+    return !d_ptr->controller->config()->cuda().threads().get(algorithm).isEmpty();
+}
+
+
+const xmrig::Hashrate *xmrig::CudaBackend::hashrate() const
+{
+    return d_ptr->workers.hashrate();
+}
+
+
+const xmrig::String &xmrig::CudaBackend::profileName() const
+{
+    return d_ptr->profileName;
+}
+
+
+const xmrig::String &xmrig::CudaBackend::type() const
+{
+    return kType;
+}
+
+
+void xmrig::CudaBackend::execCommand(char command)
+{
+#   ifdef XMRIG_FEATURE_NVML
+    if (command == 'e' || command == 'E') {
+        d_ptr->printHealth();
+    }
+#   endif
+}
+
+
+void xmrig::CudaBackend::prepare(const Job &)
+{
+}
+
+
+void xmrig::CudaBackend::printHashrate(bool details)
+{
+    if (!details || !hashrate()) {
+        return;
+    }
+
+    char num[8 * 3] = { 0 };
+
+    Log::print(WHITE_BOLD_S "|   CUDA # | AFFINITY | 10s H/s | 60s H/s | 15m H/s |");
+
+    size_t i = 0;
+    for (const auto &data : d_ptr->threads) {
+         Log::print("| %8zu | %8" PRId64 " | %7s | %7s | %7s |" CYAN_BOLD(" #%u") YELLOW(" %s") GREEN(" %s"),
+                    i,
+                    data.thread.affinity(),
+                    Hashrate::format(hashrate()->calc(i, Hashrate::ShortInterval),  num,         sizeof num / 3),
+                    Hashrate::format(hashrate()->calc(i, Hashrate::MediumInterval), num + 8,     sizeof num / 3),
+                    Hashrate::format(hashrate()->calc(i, Hashrate::LargeInterval),  num + 8 * 2, sizeof num / 3),
+                    data.device.index(),
+                    data.device.topology().toString().data(),
+                    data.device.name().data()
+                    );
+
+         i++;
+    }
+
+    Log::print(WHITE_BOLD_S "|        - |        - | %7s | %7s | %7s |",
+               Hashrate::format(hashrate()->calc(Hashrate::ShortInterval),  num,         sizeof num / 3),
+               Hashrate::format(hashrate()->calc(Hashrate::MediumInterval), num + 8,     sizeof num / 3),
+               Hashrate::format(hashrate()->calc(Hashrate::LargeInterval),  num + 8 * 2, sizeof num / 3)
+               );
+}
+
+
+void xmrig::CudaBackend::setJob(const Job &job)
+{
+    const auto &cuda = d_ptr->controller->config()->cuda();
+    if (cuda.isEnabled()) {
+        d_ptr->init(cuda);
+    }
+
+    if (!isEnabled()) {
+        return stop();
+    }
+
+    auto threads = cuda.get(d_ptr->controller->miner(), job.algorithm(), d_ptr->devices);
+    if (!d_ptr->threads.empty() && d_ptr->threads.size() == threads.size() && std::equal(d_ptr->threads.begin(), d_ptr->threads.end(), threads.begin())) {
+        return;
+    }
+
+    d_ptr->algo         = job.algorithm();
+    d_ptr->profileName  = cuda.threads().profileName(job.algorithm());
+
+    if (d_ptr->profileName.isNull() || threads.empty()) {
+        LOG_WARN("%s " RED_BOLD("disabled") YELLOW(" (no suitable configuration found)"), tag);
+
+        return stop();
+    }
+
+    stop();
+
+    d_ptr->threads = std::move(threads);
+    d_ptr->start(job);
+}
+
+
+void xmrig::CudaBackend::start(IWorker *worker, bool ready)
+{
+    mutex.lock();
+
+    if (d_ptr->status.started(ready)) {
+        d_ptr->status.print();
+
+        CudaWorker::ready = true;
+    }
+
+    mutex.unlock();
+
+    if (ready) {
+        worker->start();
+    }
+}
+
+
+void xmrig::CudaBackend::stop()
+{
+    if (d_ptr->threads.empty()) {
+        return;
+    }
+
+    const uint64_t ts = Chrono::steadyMSecs();
+
+    d_ptr->workers.stop();
+    d_ptr->threads.clear();
+
+    LOG_INFO("%s" YELLOW(" stopped") BLACK_BOLD(" (%" PRIu64 " ms)"), tag, Chrono::steadyMSecs() - ts);
+}
+
+
+void xmrig::CudaBackend::tick(uint64_t ticks)
+{
+    d_ptr->workers.tick(ticks);
+
+#   ifdef XMRIG_FEATURE_NVML
+    if (isEnabled()) {
+        auto seconds = d_ptr->controller->config()->healthPrintTime();
+        if (seconds && ticks && (ticks % (seconds * 2)) == 0) {
+            d_ptr->printHealth();
+        }
+    }
+#   endif
+}
+
+
+#ifdef XMRIG_FEATURE_API
+rapidjson::Value xmrig::CudaBackend::toJSON(rapidjson::Document &doc) const
+{
+    using namespace rapidjson;
+    auto &allocator = doc.GetAllocator();
+
+    Value out(kObjectType);
+    out.AddMember("type",       type().toJSON(), allocator);
+    out.AddMember("enabled",    isEnabled(), allocator);
+    out.AddMember("algo",       d_ptr->algo.toJSON(), allocator);
+    out.AddMember("profile",    profileName().toJSON(), allocator);
+
+    if (CudaLib::isReady()) {
+        Value versions(kObjectType);
+        versions.AddMember("cuda-runtime",   Value(CudaLib::version(d_ptr->runtimeVersion).c_str(), allocator), allocator);
+        versions.AddMember("cuda-driver",    Value(CudaLib::version(d_ptr->driverVersion).c_str(), allocator), allocator);
+        versions.AddMember("plugin",         String(CudaLib::pluginVersion()).toJSON(doc), allocator);
+
+#       ifdef XMRIG_FEATURE_NVML
+        if (NvmlLib::isReady()) {
+            versions.AddMember("nvml",       StringRef(NvmlLib::version()), allocator);
+            versions.AddMember("driver",     StringRef(NvmlLib::driverVersion()), allocator);
+        }
+#       endif
+
+        out.AddMember("versions", versions, allocator);
+    }
+
+    if (d_ptr->threads.empty() || !hashrate()) {
+        return out;
+    }
+
+    out.AddMember("hashrate", hashrate()->toJSON(doc), allocator);
+
+    Value threads(kArrayType);
+
+    size_t i = 0;
+    for (const auto &data : d_ptr->threads) {
+        Value thread = data.thread.toJSON(doc);
+        thread.AddMember("hashrate", hashrate()->toJSON(i, doc), allocator);
+
+        data.device.toJSON(thread, doc);
+
+        i++;
+        threads.PushBack(thread, allocator);
+    }
+
+    out.AddMember("threads", threads, allocator);
+
+    return out;
+}
+
+
+void xmrig::CudaBackend::handleRequest(IApiRequest &)
+{
+}
+#endif

src/backend/cuda/CudaBackend.h

@@ -0,0 +1,80 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDABACKEND_H
+#define XMRIG_CUDABACKEND_H
+
+
+#include <utility>
+
+
+#include "backend/common/interfaces/IBackend.h"
+#include "base/tools/Object.h"
+
+
+namespace xmrig {
+
+
+class Controller;
+class CudaBackendPrivate;
+class Miner;
+
+
+class CudaBackend : public IBackend
+{
+public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(CudaBackend)
+
+    CudaBackend(Controller *controller);
+
+    ~CudaBackend() override;
+
+protected:
+    bool isEnabled() const override;
+    bool isEnabled(const Algorithm &algorithm) const override;
+    const Hashrate *hashrate() const override;
+    const String &profileName() const override;
+    const String &type() const override;
+    void execCommand(char command) override;
+    void prepare(const Job &nextJob) override;
+    void printHashrate(bool details) override;
+    void setJob(const Job &job) override;
+    void start(IWorker *worker, bool ready) override;
+    void stop() override;
+    void tick(uint64_t ticks) override;
+
+#   ifdef XMRIG_FEATURE_API
+    rapidjson::Value toJSON(rapidjson::Document &doc) const override;
+    void handleRequest(IApiRequest &request) override;
+#   endif
+
+private:
+    CudaBackendPrivate *d_ptr;
+};
+
+
+} /* namespace xmrig */
+
+
+#endif /* XMRIG_CUDABACKEND_H */

src/backend/cuda/CudaConfig.cpp

@@ -0,0 +1,201 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/CudaConfig.h"
+#include "backend/common/Tags.h"
+#include "backend/cuda/CudaConfig_gen.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+#include "base/io/json/Json.h"
+#include "base/io/log/Log.h"
+#include "rapidjson/document.h"
+
+
+namespace xmrig {
+
+
+static bool generated           = false;
+static const char *kBfactorHint = "bfactor-hint";
+static const char *kBsleepHint  = "bsleep-hint";
+static const char *kDevicesHint = "devices-hint";
+static const char *kEnabled     = "enabled";
+static const char *kLoader      = "loader";
+
+#ifdef XMRIG_FEATURE_NVML
+static const char *kNvml        = "nvml";
+#endif
+
+
+extern template class Threads<CudaThreads>;
+
+
+}
+
+
+rapidjson::Value xmrig::CudaConfig::toJSON(rapidjson::Document &doc) const
+{
+    using namespace rapidjson;
+    auto &allocator = doc.GetAllocator();
+
+    Value obj(kObjectType);
+
+    obj.AddMember(StringRef(kEnabled),  m_enabled, allocator);
+    obj.AddMember(StringRef(kLoader),   m_loader.toJSON(), allocator);
+
+#   ifdef XMRIG_FEATURE_NVML
+    if (m_nvmlLoader.isNull()) {
+        obj.AddMember(StringRef(kNvml), m_nvml, allocator);
+    }
+    else {
+        obj.AddMember(StringRef(kNvml), m_nvmlLoader.toJSON(), allocator);
+    }
+#   endif
+
+    m_threads.toJSON(obj, doc);
+
+    return obj;
+}
+
+
+std::vector<xmrig::CudaLaunchData> xmrig::CudaConfig::get(const Miner *miner, const Algorithm &algorithm, const std::vector<CudaDevice> &devices) const
+{
+    auto deviceIndex = [&devices](uint32_t index) -> int {
+        for (uint32_t i = 0; i < devices.size(); ++i) {
+            if (devices[i].index() == index) {
+                return i;
+            }
+        }
+
+        return -1;
+    };
+
+    std::vector<CudaLaunchData> out;
+    const auto &threads = m_threads.get(algorithm);
+
+    if (threads.isEmpty()) {
+        return out;
+    }
+
+    out.reserve(threads.count());
+
+    for (const auto &thread : threads.data()) {
+        const int index = deviceIndex(thread.index());
+        if (index == -1) {
+            LOG_INFO("%s" YELLOW(" skip non-existing device with index ") YELLOW_BOLD("%u"), cuda_tag(), thread.index());
+            continue;
+        }
+
+        out.emplace_back(miner, algorithm, thread, devices[static_cast<size_t>(index)]);
+    }
+
+    return out;
+}
+
+
+void xmrig::CudaConfig::read(const rapidjson::Value &value)
+{
+    if (value.IsObject()) {
+        m_enabled   = Json::getBool(value, kEnabled, m_enabled);
+        m_loader    = Json::getString(value, kLoader);
+        m_bfactor   = std::min(Json::getUint(value, kBfactorHint, m_bfactor), 12u);
+        m_bsleep    = Json::getUint(value, kBsleepHint, m_bsleep);
+
+        setDevicesHint(Json::getString(value, kDevicesHint));
+
+#       ifdef XMRIG_FEATURE_NVML
+        auto &nvml = Json::getValue(value, kNvml);
+        if (nvml.IsString()) {
+            m_nvmlLoader = nvml.GetString();
+        }
+        else if (nvml.IsBool()) {
+            m_nvml = nvml.GetBool();
+        }
+#       endif
+
+        m_threads.read(value);
+
+        generate();
+    }
+    else if (value.IsBool()) {
+        m_enabled = value.GetBool();
+
+        generate();
+    }
+    else {
+        m_shouldSave = true;
+
+        generate();
+    }
+}
+
+
+void xmrig::CudaConfig::generate()
+{
+    if (generated) {
+        return;
+    }
+
+    if (!isEnabled() || m_threads.has("*")) {
+        return;
+    }
+
+    if (!CudaLib::init(loader())) {
+        return;
+    }
+
+    if (!CudaLib::runtimeVersion() || !CudaLib::driverVersion() || !CudaLib::deviceCount()) {
+        return;
+    }
+
+    const auto devices = CudaLib::devices(bfactor(), bsleep(), m_devicesHint);
+    if (devices.empty()) {
+        return;
+    }
+
+    size_t count = 0;
+
+    count += xmrig::generate<Algorithm::CN>(m_threads, devices);
+    count += xmrig::generate<Algorithm::CN_LITE>(m_threads, devices);
+    count += xmrig::generate<Algorithm::CN_HEAVY>(m_threads, devices);
+    count += xmrig::generate<Algorithm::CN_PICO>(m_threads, devices);
+    count += xmrig::generate<Algorithm::RANDOM_X>(m_threads, devices);
+
+    generated    = true;
+    m_shouldSave = count > 0;
+}
+
+
+void xmrig::CudaConfig::setDevicesHint(const char *devicesHint)
+{
+    if (devicesHint == nullptr) {
+        return;
+    }
+
+    const auto indexes = String(devicesHint).split(',');
+    m_devicesHint.reserve(indexes.size());
+
+    for (const auto &index : indexes) {
+        m_devicesHint.push_back(strtoul(index, nullptr, 10));
+    }
+}

src/backend/cuda/CudaConfig.h

@@ -0,0 +1,87 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDACONFIG_H
+#define XMRIG_CUDACONFIG_H
+
+
+#include "backend/cuda/CudaLaunchData.h"
+#include "backend/common/Threads.h"
+#include "backend/cuda/CudaThreads.h"
+
+
+namespace xmrig {
+
+
+class CudaConfig
+{
+public:
+    CudaConfig() = default;
+
+    rapidjson::Value toJSON(rapidjson::Document &doc) const;
+    std::vector<CudaLaunchData> get(const Miner *miner, const Algorithm &algorithm, const std::vector<CudaDevice> &devices) const;
+    void read(const rapidjson::Value &value);
+
+    inline bool isEnabled() const                               { return m_enabled; }
+    inline bool isShouldSave() const                            { return m_shouldSave; }
+    inline const std::vector<uint32_t> &devicesHint() const     { return m_devicesHint; }
+    inline const String &loader() const                         { return m_loader; }
+    inline const Threads<CudaThreads> &threads() const          { return m_threads; }
+    inline int32_t bfactor() const                              { return m_bfactor; }
+    inline int32_t bsleep() const                               { return m_bsleep; }
+
+#   ifdef XMRIG_FEATURE_NVML
+    inline bool isNvmlEnabled() const                           { return m_nvml; }
+    inline const String &nvmlLoader() const                     { return m_nvmlLoader; }
+#   endif
+
+private:
+    void generate();
+    void setDevicesHint(const char *devicesHint);
+
+    bool m_enabled          = false;
+    bool m_shouldSave       = false;
+    std::vector<uint32_t> m_devicesHint;
+    String m_loader;
+    Threads<CudaThreads> m_threads;
+
+#   ifdef _WIN32
+    int32_t m_bfactor      = 6;
+    int32_t m_bsleep       = 25;
+#   else
+    int32_t m_bfactor      = 0;
+    int32_t m_bsleep       = 0;
+#   endif
+
+#   ifdef XMRIG_FEATURE_NVML
+    bool m_nvml            = true;
+    String m_nvmlLoader;
+#   endif
+};
+
+
+} /* namespace xmrig */
+
+
+#endif /* XMRIG_CUDACONFIG_H */

src/backend/cuda/CudaConfig_gen.h

@@ -0,0 +1,137 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDACONFIG_GEN_H
+#define XMRIG_CUDACONFIG_GEN_H
+
+
+#include "backend/common/Threads.h"
+#include "backend/cuda/CudaThreads.h"
+#include "backend/cuda/wrappers/CudaDevice.h"
+
+
+#include <algorithm>
+
+
+namespace xmrig {
+
+
+static inline size_t generate(const char *key, Threads<CudaThreads> &threads, const Algorithm &algorithm, const std::vector<CudaDevice> &devices)
+{
+    if (threads.isExist(algorithm) || threads.has(key)) {
+        return 0;
+    }
+
+    return threads.move(key, CudaThreads(devices, algorithm));
+}
+
+
+template<Algorithm::Family FAMILY>
+static inline size_t generate(Threads<CudaThreads> &, const std::vector<CudaDevice> &) { return 0; }
+
+
+template<>
+size_t inline generate<Algorithm::CN>(Threads<CudaThreads> &threads, const std::vector<CudaDevice> &devices)
+{
+    size_t count = 0;
+
+    count += generate("cn", threads, Algorithm::CN_1, devices);
+    count += generate("cn/2", threads, Algorithm::CN_2, devices);
+
+    if (!threads.isExist(Algorithm::CN_0)) {
+        threads.disable(Algorithm::CN_0);
+        count++;
+    }
+
+#   ifdef XMRIG_ALGO_CN_GPU
+    count += generate("cn/gpu", threads, Algorithm::CN_GPU, devices);
+#   endif
+
+    return count;
+}
+
+
+#ifdef XMRIG_ALGO_CN_LITE
+template<>
+size_t inline generate<Algorithm::CN_LITE>(Threads<CudaThreads> &threads, const std::vector<CudaDevice> &devices)
+{
+    size_t count = generate("cn-lite", threads, Algorithm::CN_LITE_1, devices);
+
+    if (!threads.isExist(Algorithm::CN_LITE_0)) {
+        threads.disable(Algorithm::CN_LITE_0);
+        ++count;
+    }
+
+    return count;
+}
+#endif
+
+
+#ifdef XMRIG_ALGO_CN_HEAVY
+template<>
+size_t inline generate<Algorithm::CN_HEAVY>(Threads<CudaThreads> &threads, const std::vector<CudaDevice> &devices)
+{
+    return generate("cn-heavy", threads, Algorithm::CN_HEAVY_0, devices);
+}
+#endif
+
+
+#ifdef XMRIG_ALGO_CN_PICO
+template<>
+size_t inline generate<Algorithm::CN_PICO>(Threads<CudaThreads> &threads, const std::vector<CudaDevice> &devices)
+{
+    return generate("cn-pico", threads, Algorithm::CN_PICO_0, devices);
+}
+#endif
+
+
+#ifdef XMRIG_ALGO_RANDOMX
+template<>
+size_t inline generate<Algorithm::RANDOM_X>(Threads<CudaThreads> &threads, const std::vector<CudaDevice> &devices)
+{
+    size_t count = 0;
+
+    auto rx  = CudaThreads(devices, Algorithm::RX_0);
+    auto wow = CudaThreads(devices, Algorithm::RX_WOW);
+    auto arq = CudaThreads(devices, Algorithm::RX_ARQ);
+
+    if (!threads.isExist(Algorithm::RX_WOW) && wow != rx) {
+        count += threads.move("rx/wow", std::move(wow));
+    }
+
+    if (!threads.isExist(Algorithm::RX_ARQ) && arq != rx) {
+        count += threads.move("rx/arq", std::move(arq));
+    }
+
+    count += threads.move("rx", std::move(rx));
+
+    return count;
+}
+#endif
+
+
+} /* namespace xmrig */
+
+
+#endif /* XMRIG_CUDACONFIG_GEN_H */

src/backend/cuda/CudaLaunchData.cpp

@@ -0,0 +1,51 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018      Lee Clagett <https://github.com/vtnerd>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/CudaLaunchData.h"
+#include "backend/common/Tags.h"
+
+
+xmrig::CudaLaunchData::CudaLaunchData(const Miner *miner, const Algorithm &algorithm, const CudaThread &thread, const CudaDevice &device) :
+    algorithm(algorithm),
+    miner(miner),
+    device(device),
+    thread(thread)
+{
+}
+
+
+bool xmrig::CudaLaunchData::isEqual(const CudaLaunchData &other) const
+{
+    return (other.algorithm.family() == algorithm.family() &&
+            other.algorithm.l3()     == algorithm.l3() &&
+            other.thread             == thread);
+}
+
+
+const char *xmrig::CudaLaunchData::tag()
+{
+    return cuda_tag();
+}

src/backend/cuda/CudaLaunchData.h

@@ -0,0 +1,66 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018      Lee Clagett <https://github.com/vtnerd>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDALAUNCHDATA_H
+#define XMRIG_CUDALAUNCHDATA_H
+
+
+#include "backend/cuda/CudaThread.h"
+#include "crypto/common/Algorithm.h"
+#include "crypto/common/Nonce.h"
+
+
+namespace xmrig {
+
+
+class CudaDevice;
+class Miner;
+
+
+class CudaLaunchData
+{
+public:
+    CudaLaunchData(const Miner *miner, const Algorithm &algorithm, const CudaThread &thread, const CudaDevice &device);
+
+    bool isEqual(const CudaLaunchData &other) const;
+
+    inline constexpr static Nonce::Backend backend() { return Nonce::CUDA; }
+
+    inline bool operator!=(const CudaLaunchData &other) const    { return !isEqual(other); }
+    inline bool operator==(const CudaLaunchData &other) const    { return isEqual(other); }
+
+    static const char *tag();
+
+    const Algorithm algorithm;
+    const Miner *miner;
+    const CudaDevice &device;
+    const CudaThread thread;
+};
+
+
+} // namespace xmrig
+
+
+#endif /* XMRIG_OCLLAUNCHDATA_H */

src/backend/cuda/CudaThread.cpp

@@ -0,0 +1,113 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/CudaThread.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+#include "base/io/json/Json.h"
+#include "rapidjson/document.h"
+
+
+#include <algorithm>
+
+
+namespace xmrig {
+
+static const char *kAffinity    = "affinity";
+static const char *kBFactor     = "bfactor";
+static const char *kBlocks      = "blocks";
+static const char *kBSleep      = "bsleep";
+static const char *kIndex       = "index";
+static const char *kThreads     = "threads";
+static const char *kDatasetHost = "dataset_host";
+
+} // namespace xmrig
+
+
+xmrig::CudaThread::CudaThread(const rapidjson::Value &value)
+{
+    if (!value.IsObject()) {
+        return;
+    }
+
+    m_index     = Json::getUint(value, kIndex);
+    m_threads   = Json::getInt(value, kThreads);
+    m_blocks    = Json::getInt(value, kBlocks);
+    m_bfactor   = std::min(Json::getUint(value, kBFactor, m_bfactor), 12u);
+    m_bsleep    = Json::getUint(value, kBSleep, m_bsleep);
+    m_affinity  = Json::getUint64(value, kAffinity, m_affinity);
+
+    if (Json::getValue(value, kDatasetHost).IsInt()) {
+        m_datasetHost = Json::getInt(value, kDatasetHost, m_datasetHost) != 0;
+    }
+    else {
+        m_datasetHost = Json::getBool(value, kDatasetHost);
+    }
+}
+
+
+xmrig::CudaThread::CudaThread(uint32_t index, nvid_ctx *ctx) :
+    m_blocks(CudaLib::deviceInt(ctx, CudaLib::DeviceBlocks)),
+    m_datasetHost(CudaLib::deviceInt(ctx, CudaLib::DeviceDatasetHost)),
+    m_threads(CudaLib::deviceInt(ctx, CudaLib::DeviceThreads)),
+    m_index(index),
+    m_bfactor(CudaLib::deviceUint(ctx, CudaLib::DeviceBFactor)),
+    m_bsleep(CudaLib::deviceUint(ctx, CudaLib::DeviceBSleep))
+{
+
+}
+
+
+bool xmrig::CudaThread::isEqual(const CudaThread &other) const
+{
+    return m_blocks      == other.m_blocks &&
+           m_threads     == other.m_threads &&
+           m_affinity    == other.m_affinity &&
+           m_index       == other.m_index &&
+           m_bfactor     == other.m_bfactor &&
+           m_bsleep      == other.m_bsleep &&
+           m_datasetHost == other.m_datasetHost;
+}
+
+
+rapidjson::Value xmrig::CudaThread::toJSON(rapidjson::Document &doc) const
+{
+    using namespace rapidjson;
+    auto &allocator = doc.GetAllocator();
+
+    Value out(kObjectType);
+
+    out.AddMember(StringRef(kIndex),        index(), allocator);
+    out.AddMember(StringRef(kThreads),      threads(), allocator);
+    out.AddMember(StringRef(kBlocks),       blocks(), allocator);
+    out.AddMember(StringRef(kBFactor),      bfactor(), allocator);
+    out.AddMember(StringRef(kBSleep),       bsleep(), allocator);
+    out.AddMember(StringRef(kAffinity),     affinity(), allocator);
+
+    if (m_datasetHost >= 0) {
+        out.AddMember(StringRef(kDatasetHost), m_datasetHost > 0, allocator);
+    }
+
+    return out;
+}

src/backend/cuda/CudaThread.h

@@ -0,0 +1,81 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDATHREAD_H
+#define XMRIG_CUDATHREAD_H
+
+
+using nvid_ctx = struct nvid_ctx;
+
+
+#include "crypto/common/Algorithm.h"
+#include "rapidjson/fwd.h"
+
+
+namespace xmrig {
+
+
+class CudaThread
+{
+public:
+    CudaThread() = delete;
+    CudaThread(const rapidjson::Value &value);
+    CudaThread(uint32_t index, nvid_ctx *ctx);
+
+    inline bool isValid() const                              { return m_blocks > 0 && m_threads > 0; }
+    inline int32_t bfactor() const                           { return static_cast<int32_t>(m_bfactor); }
+    inline int32_t blocks() const                            { return m_blocks; }
+    inline int32_t bsleep() const                            { return static_cast<int32_t>(m_bsleep); }
+    inline int32_t datasetHost() const                       { return m_datasetHost; }
+    inline int32_t threads() const                           { return m_threads; }
+    inline int64_t affinity() const                          { return m_affinity; }
+    inline uint32_t index() const                            { return m_index; }
+
+    inline bool operator!=(const CudaThread &other) const    { return !isEqual(other); }
+    inline bool operator==(const CudaThread &other) const    { return isEqual(other); }
+
+    bool isEqual(const CudaThread &other) const;
+    rapidjson::Value toJSON(rapidjson::Document &doc) const;
+
+private:
+    int32_t m_blocks        = 0;
+    int32_t m_datasetHost   = -1;
+    int32_t m_threads       = 0;
+    int64_t m_affinity      = -1;
+    uint32_t m_index        = 0;
+
+#   ifdef _WIN32
+    uint32_t m_bfactor      = 6;
+    uint32_t m_bsleep       = 25;
+#   else
+    uint32_t m_bfactor      = 0;
+    uint32_t m_bsleep       = 0;
+#   endif
+};
+
+
+} /* namespace xmrig */
+
+
+#endif /* XMRIG_CUDATHREAD_H */

src/backend/cuda/CudaThreads.cpp

@@ -0,0 +1,79 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/CudaThreads.h"
+#include "base/io/json/Json.h"
+#include "rapidjson/document.h"
+
+
+#include <algorithm>
+
+
+xmrig::CudaThreads::CudaThreads(const rapidjson::Value &value)
+{
+    if (value.IsArray()) {
+        for (auto &v : value.GetArray()) {
+            CudaThread thread(v);
+            if (thread.isValid()) {
+                add(std::move(thread));
+            }
+        }
+    }
+}
+
+
+xmrig::CudaThreads::CudaThreads(const std::vector<CudaDevice> &devices, const Algorithm &algorithm)
+{
+    for (const auto &device : devices) {
+        device.generate(algorithm, *this);
+    }
+}
+
+
+bool xmrig::CudaThreads::isEqual(const CudaThreads &other) const
+{
+    if (isEmpty() && other.isEmpty()) {
+        return true;
+    }
+
+    return count() == other.count() && std::equal(m_data.begin(), m_data.end(), other.m_data.begin());
+}
+
+
+rapidjson::Value xmrig::CudaThreads::toJSON(rapidjson::Document &doc) const
+{
+    using namespace rapidjson;
+    auto &allocator = doc.GetAllocator();
+
+    Value out(kArrayType);
+
+    out.SetArray();
+
+    for (const CudaThread &thread : m_data) {
+        out.PushBack(thread.toJSON(doc), allocator);
+    }
+
+    return out;
+}

src/backend/cuda/CudaThreads.h

@@ -0,0 +1,66 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDATHREADS_H
+#define XMRIG_CUDATHREADS_H
+
+
+#include <vector>
+
+
+#include "backend/cuda/CudaThread.h"
+#include "backend/cuda/wrappers/CudaDevice.h"
+
+
+namespace xmrig {
+
+
+class CudaThreads
+{
+public:
+    CudaThreads() = default;
+    CudaThreads(const rapidjson::Value &value);
+    CudaThreads(const std::vector<CudaDevice> &devices, const Algorithm &algorithm);
+
+    inline bool isEmpty() const                              { return m_data.empty(); }
+    inline const std::vector<CudaThread> &data() const       { return m_data; }
+    inline size_t count() const                              { return m_data.size(); }
+    inline void add(CudaThread &&thread)                     { m_data.push_back(thread); }
+    inline void reserve(size_t capacity)                     { m_data.reserve(capacity); }
+
+    inline bool operator!=(const CudaThreads &other) const   { return !isEqual(other); }
+    inline bool operator==(const CudaThreads &other) const   { return isEqual(other); }
+
+    bool isEqual(const CudaThreads &other) const;
+    rapidjson::Value toJSON(rapidjson::Document &doc) const;
+
+private:
+    std::vector<CudaThread> m_data;
+};
+
+
+} /* namespace xmrig */
+
+
+#endif /* XMRIG_CUDATHREADS_H */

src/backend/cuda/CudaWorker.cpp

@@ -0,0 +1,171 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018      Lee Clagett <https://github.com/vtnerd>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/CudaWorker.h"
+#include "backend/common/Tags.h"
+#include "backend/cuda/runners/CudaCnRunner.h"
+#include "base/io/log/Log.h"
+#include "base/tools/Chrono.h"
+#include "core/Miner.h"
+#include "crypto/common/Nonce.h"
+#include "net/JobResults.h"
+
+
+#ifdef XMRIG_ALGO_RANDOMX
+#   include "backend/cuda/runners/CudaRxRunner.h"
+#endif
+
+
+#include <cassert>
+#include <thread>
+
+
+namespace xmrig {
+
+
+static constexpr uint32_t kReserveCount = 32768;
+std::atomic<bool> CudaWorker::ready;
+
+
+static inline bool isReady()                         { return !Nonce::isPaused() && CudaWorker::ready; }
+static inline uint32_t roundSize(uint32_t intensity) { return kReserveCount / intensity + 1; }
+
+
+} // namespace xmrig
+
+
+
+xmrig::CudaWorker::CudaWorker(size_t id, const CudaLaunchData &data) :
+    Worker(id, data.thread.affinity(), -1),
+    m_algorithm(data.algorithm),
+    m_miner(data.miner)
+{
+    switch (m_algorithm.family()) {
+    case Algorithm::RANDOM_X:
+#       ifdef XMRIG_ALGO_RANDOMX
+        m_runner = new CudaRxRunner(id, data);
+#       endif
+        break;
+
+    case Algorithm::ARGON2:
+        break;
+
+    default:
+        m_runner = new CudaCnRunner(id, data);
+        break;
+    }
+
+    if (!m_runner || !m_runner->init()) {
+        return;
+    }
+}
+
+
+xmrig::CudaWorker::~CudaWorker()
+{
+    delete m_runner;
+}
+
+
+bool xmrig::CudaWorker::selfTest()
+{
+    return m_runner != nullptr;
+}
+
+
+size_t xmrig::CudaWorker::intensity() const
+{
+    return m_runner ? m_runner->intensity() : 0;
+}
+
+
+void xmrig::CudaWorker::start()
+{
+    while (Nonce::sequence(Nonce::CUDA) > 0) {
+        if (!isReady()) {
+            do {
+                std::this_thread::sleep_for(std::chrono::milliseconds(200));
+            }
+            while (!isReady() && Nonce::sequence(Nonce::CUDA) > 0);
+
+            if (Nonce::sequence(Nonce::CUDA) == 0) {
+                break;
+            }
+
+            if (!consumeJob()) {
+                return;
+            }
+        }
+
+        while (!Nonce::isOutdated(Nonce::CUDA, m_job.sequence())) {
+            uint32_t foundNonce[10] = { 0 };
+            uint32_t foundCount     = 0;
+
+            if (!m_runner->run(*m_job.nonce(), &foundCount, foundNonce)) {
+                return;
+            }
+
+            if (foundCount) {
+                JobResults::submit(m_job.currentJob(), foundNonce, foundCount);
+            }
+
+            const size_t batch_size = intensity();
+            m_job.nextRound(roundSize(batch_size), batch_size);
+
+            storeStats();
+            std::this_thread::yield();
+        }
+
+        if (!consumeJob()) {
+            return;
+        }
+    }
+}
+
+
+bool xmrig::CudaWorker::consumeJob()
+{
+    if (Nonce::sequence(Nonce::CUDA) == 0) {
+        return false;
+    }
+
+    const size_t batch_size = intensity();
+    m_job.add(m_miner->job(), roundSize(batch_size) * batch_size, Nonce::CUDA);
+
+    return m_runner->set(m_job.currentJob(), m_job.blob());;
+}
+
+
+void xmrig::CudaWorker::storeStats()
+{
+    if (!isReady()) {
+        return;
+    }
+
+    m_count += intensity();
+
+    Worker::storeStats();
+}

src/backend/cuda/CudaWorker.h

@@ -0,0 +1,73 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018      Lee Clagett <https://github.com/vtnerd>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDAWORKER_H
+#define XMRIG_CUDAWORKER_H
+
+
+#include "backend/common/Worker.h"
+#include "backend/common/WorkerJob.h"
+#include "backend/cuda/CudaLaunchData.h"
+#include "base/tools/Object.h"
+#include "net/JobResult.h"
+
+
+namespace xmrig {
+
+
+class ICudaRunner;
+
+
+class CudaWorker : public Worker
+{
+public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(CudaWorker)
+
+    CudaWorker(size_t id, const CudaLaunchData &data);
+
+    ~CudaWorker() override;
+
+    static std::atomic<bool> ready;
+
+protected:
+    bool selfTest() override;
+    size_t intensity() const override;
+    void start() override;
+
+private:
+    bool consumeJob();
+    void storeStats();
+
+    const Algorithm m_algorithm;
+    const Miner *m_miner;
+    ICudaRunner *m_runner = nullptr;
+    WorkerJob<1> m_job;
+};
+
+
+} // namespace xmrig
+
+
+#endif /* XMRIG_CUDAWORKER_H */

src/backend/cuda/cuda.cmake

@@ -0,0 +1,56 @@
+if (WITH_CUDA)
+    add_definitions(/DXMRIG_FEATURE_CUDA)
+
+    set(HEADERS_BACKEND_CUDA
+        src/backend/cuda/CudaBackend.h
+        src/backend/cuda/CudaConfig_gen.h
+        src/backend/cuda/CudaConfig.h
+        src/backend/cuda/CudaLaunchData.h
+        src/backend/cuda/CudaThread.h
+        src/backend/cuda/CudaThreads.h
+        src/backend/cuda/CudaWorker.h
+        src/backend/cuda/interfaces/ICudaRunner.h
+        src/backend/cuda/runners/CudaBaseRunner.h
+        src/backend/cuda/runners/CudaCnRunner.h
+        src/backend/cuda/wrappers/CudaDevice.h
+        src/backend/cuda/wrappers/CudaLib.h
+       )
+
+    set(SOURCES_BACKEND_CUDA
+        src/backend/cuda/CudaBackend.cpp
+        src/backend/cuda/CudaConfig.cpp
+        src/backend/cuda/CudaLaunchData.cpp
+        src/backend/cuda/CudaThread.cpp
+        src/backend/cuda/CudaThreads.cpp
+        src/backend/cuda/CudaWorker.cpp
+        src/backend/cuda/runners/CudaBaseRunner.cpp
+        src/backend/cuda/runners/CudaCnRunner.cpp
+        src/backend/cuda/wrappers/CudaDevice.cpp
+        src/backend/cuda/wrappers/CudaLib.cpp
+       )
+
+   if (WITH_NVML AND NOT APPLE)
+       add_definitions(/DXMRIG_FEATURE_NVML)
+
+       list(APPEND HEADERS_BACKEND_CUDA
+           src/backend/cuda/wrappers/nvml_lite.h
+           src/backend/cuda/wrappers/NvmlHealth.h
+           src/backend/cuda/wrappers/NvmlLib.h
+           )
+
+       list(APPEND SOURCES_BACKEND_CUDA src/backend/cuda/wrappers/NvmlLib.cpp)
+   else()
+       remove_definitions(/DXMRIG_FEATURE_NVML)
+   endif()
+
+   if (WITH_RANDOMX)
+       list(APPEND HEADERS_BACKEND_CUDA src/backend/cuda/runners/CudaRxRunner.h)
+       list(APPEND SOURCES_BACKEND_CUDA src/backend/cuda/runners/CudaRxRunner.cpp)
+   endif()
+else()
+    remove_definitions(/DXMRIG_FEATURE_CUDA)
+    remove_definitions(/DXMRIG_FEATURE_NVML)
+
+    set(HEADERS_BACKEND_CUDA "")
+    set(SOURCES_BACKEND_CUDA "")
+endif()

src/backend/cuda/interfaces/ICudaRunner.h

@@ -0,0 +1,71 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_ICUDARUNNER_H
+#define XMRIG_ICUDARUNNER_H
+
+
+#include "base/tools/Object.h"
+
+
+#include <cstdint>
+
+
+namespace xmrig {
+
+
+class Job;
+
+
+class ICudaRunner
+{
+public:
+    XMRIG_DISABLE_COPY_MOVE(ICudaRunner)
+
+    ICudaRunner()          = default;
+    virtual ~ICudaRunner() = default;
+
+//    virtual cl_context ctx() const                          = 0;
+//    virtual const Algorithm &algorithm() const              = 0;
+//    virtual const char *buildOptions() const                = 0;
+//    virtual const char *deviceKey() const                   = 0;
+//    virtual const char *source() const                      = 0;
+//    virtual const OclLaunchData &data() const               = 0;
+    virtual size_t intensity() const                        = 0;
+//    virtual size_t threadId() const                         = 0;
+//    virtual uint32_t deviceIndex() const                    = 0;
+//    virtual void build()                                    = 0;
+    virtual bool init()                                     = 0;
+    virtual bool run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce)   = 0;
+    virtual bool set(const Job &job, uint8_t *blob)         = 0;
+
+protected:
+//    virtual size_t bufferSize() const                       = 0;
+};
+
+
+} /* namespace xmrig */
+
+
+#endif // XMRIG_ICUDARUNNER_H

src/backend/cuda/runners/CudaBaseRunner.cpp

@@ -0,0 +1,83 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/runners/CudaBaseRunner.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+#include "backend/cuda/CudaLaunchData.h"
+#include "backend/common/Tags.h"
+#include "base/io/log/Log.h"
+#include "base/net/stratum/Job.h"
+
+
+xmrig::CudaBaseRunner::CudaBaseRunner(size_t id, const CudaLaunchData &data) :
+    m_data(data),
+    m_threadId(id)
+{
+}
+
+
+xmrig::CudaBaseRunner::~CudaBaseRunner()
+{
+    CudaLib::release(m_ctx);
+}
+
+
+bool xmrig::CudaBaseRunner::init()
+{
+    m_ctx = CudaLib::alloc(m_data.thread.index(), m_data.thread.bfactor(), m_data.thread.bsleep());
+    if (CudaLib::deviceInfo(m_ctx, m_data.thread.blocks(), m_data.thread.threads(), m_data.algorithm, m_data.thread.datasetHost()) != 0) {
+        return false;
+    }
+
+    return callWrapper(CudaLib::deviceInit(m_ctx));
+}
+
+
+bool xmrig::CudaBaseRunner::set(const Job &job, uint8_t *blob)
+{
+    m_height = job.height();
+    m_target = job.target();
+
+    return callWrapper(CudaLib::setJob(m_ctx, blob, job.size(), job.algorithm()));
+}
+
+
+size_t xmrig::CudaBaseRunner::intensity() const
+{
+    return m_data.thread.threads() * m_data.thread.blocks();
+}
+
+
+bool xmrig::CudaBaseRunner::callWrapper(bool result) const
+{
+    if (!result) {
+        const char *error = CudaLib::lastError(m_ctx);
+        if (error) {
+            LOG_ERR("%s" RED_S " thread " RED_BOLD("#%zu") RED_S " failed with error " RED_BOLD("%s"), cuda_tag(), m_threadId, error);
+        }
+    }
+
+    return result;
+}

src/backend/cuda/runners/CudaBaseRunner.h

@@ -0,0 +1,68 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDABASERUNNER_H
+#define XMRIG_CUDABASERUNNER_H
+
+
+#include "backend/cuda/interfaces/ICudaRunner.h"
+
+
+using nvid_ctx = struct nvid_ctx;
+
+
+namespace xmrig {
+
+
+class CudaLaunchData;
+
+
+class CudaBaseRunner : public ICudaRunner
+{
+public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(CudaBaseRunner)
+
+    CudaBaseRunner(size_t id, const CudaLaunchData &data);
+    ~CudaBaseRunner() override;
+
+protected:
+    bool init() override;
+    bool set(const Job &job, uint8_t *blob) override;
+    size_t intensity() const override;
+
+protected:
+    bool callWrapper(bool result) const;
+
+    const CudaLaunchData &m_data;
+    const size_t m_threadId;
+    nvid_ctx *m_ctx     = nullptr;
+    uint64_t m_height   = 0;
+    uint64_t m_target   = 0;
+};
+
+
+} /* namespace xmrig */
+
+
+#endif // XMRIG_CUDABASERUNNER_H

src/backend/cuda/runners/CudaCnRunner.cpp

@@ -0,0 +1,38 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/runners/CudaCnRunner.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+
+
+xmrig::CudaCnRunner::CudaCnRunner(size_t index, const CudaLaunchData &data) : CudaBaseRunner(index, data)
+{
+}
+
+
+bool xmrig::CudaCnRunner::run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce)
+{
+    return callWrapper(CudaLib::cnHash(m_ctx, startNonce, m_height, m_target, rescount, resnonce));
+}

src/backend/cuda/runners/CudaCnRunner.h

@@ -0,0 +1,48 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDACNRUNNER_H
+#define XMRIG_CUDACNRUNNER_H
+
+
+#include "backend/cuda/runners/CudaBaseRunner.h"
+
+
+namespace xmrig {
+
+
+class CudaCnRunner : public CudaBaseRunner
+{
+public:
+    CudaCnRunner(size_t index, const CudaLaunchData &data);
+
+protected:
+    bool run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce) override;
+};
+
+
+} /* namespace xmrig */
+
+
+#endif // XMRIG_CUDACNRUNNER_H

src/backend/cuda/runners/CudaRxRunner.cpp

@@ -0,0 +1,66 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/runners/CudaRxRunner.h"
+#include "backend/cuda/CudaLaunchData.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+#include "base/net/stratum/Job.h"
+#include "crypto/rx/Rx.h"
+#include "crypto/rx/RxDataset.h"
+
+
+xmrig::CudaRxRunner::CudaRxRunner(size_t index, const CudaLaunchData &data) : CudaBaseRunner(index, data),
+  m_datasetHost(data.thread.datasetHost() > 0)
+{
+    m_intensity                   = m_data.thread.threads() * m_data.thread.blocks();
+    const size_t scratchpads_size = m_intensity * m_data.algorithm.l3();
+    const size_t num_scratchpads  = scratchpads_size / m_data.algorithm.l3();
+
+    if (m_intensity > num_scratchpads) {
+        m_intensity = num_scratchpads;
+    }
+
+    m_intensity -= m_intensity % 32;
+}
+
+
+bool xmrig::CudaRxRunner::run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce)
+{
+    return callWrapper(CudaLib::rxHash(m_ctx, startNonce, m_target, rescount, resnonce));
+}
+
+
+bool xmrig::CudaRxRunner::set(const Job &job, uint8_t *blob)
+{
+    const bool rc = CudaBaseRunner::set(job, blob);
+    if (!rc || m_ready) {
+        return rc;
+    }
+
+    auto dataset = Rx::dataset(job, 0);
+    m_ready = callWrapper(CudaLib::rxPrepare(m_ctx, dataset->raw(), dataset->size(false), m_datasetHost, m_intensity));
+
+    return m_ready;
+}

src/backend/cuda/runners/CudaRxRunner.h

@@ -0,0 +1,56 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDARXRUNNER_H
+#define XMRIG_CUDARXRUNNER_H
+
+
+#include "backend/cuda/runners/CudaBaseRunner.h"
+
+
+namespace xmrig {
+
+
+class CudaRxRunner : public CudaBaseRunner
+{
+public:
+    CudaRxRunner(size_t index, const CudaLaunchData &data);
+
+protected:
+    inline size_t intensity() const override { return m_intensity; }
+
+    bool run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce) override;
+    bool set(const Job &job, uint8_t *blob) override;
+
+private:
+    bool m_ready             = false;
+    const bool m_datasetHost = false;
+    size_t m_intensity       = 0;
+};
+
+
+} /* namespace xmrig */
+
+
+#endif // XMRIG_CUDARXRUNNER_H

src/backend/cuda/wrappers/CudaDevice.cpp

@@ -0,0 +1,152 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include "backend/cuda/wrappers/CudaDevice.h"
+#include "backend/cuda/CudaThreads.h"
+#include "backend/cuda/wrappers/CudaLib.h"
+#include "base/io/log/Log.h"
+#include "crypto/common/Algorithm.h"
+#include "rapidjson/document.h"
+
+#ifdef XMRIG_FEATURE_NVML
+#   include "backend/cuda/wrappers/NvmlLib.h"
+#endif
+
+#include <algorithm>
+
+
+xmrig::CudaDevice::CudaDevice(uint32_t index, int32_t bfactor, int32_t bsleep) :
+    m_index(index)
+{
+    auto ctx = CudaLib::alloc(index, bfactor, bsleep);
+    if (CudaLib::deviceInfo(ctx, 0, 0, Algorithm::INVALID) != 0) {
+        CudaLib::release(ctx);
+
+        return;
+    }
+
+    m_ctx       = ctx;
+    m_name      = CudaLib::deviceName(ctx);
+    m_topology  = PciTopology(CudaLib::deviceUint(ctx, CudaLib::DevicePciBusID), CudaLib::deviceUint(ctx, CudaLib::DevicePciDeviceID), 0);
+}
+
+
+xmrig::CudaDevice::CudaDevice(CudaDevice &&other) noexcept :
+    m_index(other.m_index),
+    m_ctx(other.m_ctx),
+    m_topology(other.m_topology),
+    m_name(std::move(other.m_name))
+{
+    other.m_ctx = nullptr;
+}
+
+
+xmrig::CudaDevice::~CudaDevice()
+{
+    CudaLib::release(m_ctx);
+}
+
+
+size_t xmrig::CudaDevice::freeMemSize() const
+{
+    return CudaLib::deviceUlong(m_ctx, CudaLib::DeviceMemoryFree);
+}
+
+
+size_t xmrig::CudaDevice::globalMemSize() const
+{
+    return CudaLib::deviceUlong(m_ctx, CudaLib::DeviceMemoryTotal);
+}
+
+
+uint32_t xmrig::CudaDevice::clock() const
+{
+    return CudaLib::deviceUint(m_ctx, CudaLib::DeviceClockRate) / 1000;
+}
+
+
+uint32_t xmrig::CudaDevice::computeCapability(bool major) const
+{
+    return CudaLib::deviceUint(m_ctx, major ? CudaLib::DeviceArchMajor : CudaLib::DeviceArchMinor);
+}
+
+
+uint32_t xmrig::CudaDevice::memoryClock() const
+{
+    return CudaLib::deviceUint(m_ctx, CudaLib::DeviceMemoryClockRate) / 1000;
+}
+
+
+uint32_t xmrig::CudaDevice::smx() const
+{
+    return CudaLib::deviceUint(m_ctx, CudaLib::DeviceSmx);
+}
+
+
+void xmrig::CudaDevice::generate(const Algorithm &algorithm, CudaThreads &threads) const
+{
+    if (CudaLib::deviceInfo(m_ctx, -1, -1, algorithm) != 0) {
+        return;
+    }
+
+    threads.add(CudaThread(m_index, m_ctx));
+}
+
+
+#ifdef XMRIG_FEATURE_API
+void xmrig::CudaDevice::toJSON(rapidjson::Value &out, rapidjson::Document &doc) const
+{
+    using namespace rapidjson;
+    auto &allocator = doc.GetAllocator();
+
+    out.AddMember("name",           name().toJSON(doc), allocator);
+    out.AddMember("bus_id",         topology().toString().toJSON(doc), allocator);
+    out.AddMember("smx",            smx(), allocator);
+    out.AddMember("arch",           arch(), allocator);
+    out.AddMember("global_mem",     static_cast<uint64_t>(globalMemSize()), allocator);
+    out.AddMember("clock",          clock(), allocator);
+    out.AddMember("memory_clock",   memoryClock(), allocator);
+
+#   ifdef XMRIG_FEATURE_NVML
+    if (m_nvmlDevice) {
+        auto data = NvmlLib::health(m_nvmlDevice);
+
+        Value health(kObjectType);
+        health.AddMember("temperature", data.temperature, allocator);
+        health.AddMember("power",       data.power, allocator);
+        health.AddMember("clock",       data.clock, allocator);
+        health.AddMember("mem_clock",   data.memClock, allocator);
+
+        Value fanSpeed(kArrayType);
+        for (auto speed : data.fanSpeed) {
+            fanSpeed.PushBack(speed, allocator);
+        }
+        health.AddMember("fan_speed", fanSpeed, allocator);
+
+        out.AddMember("health", health, allocator);
+    }
+#   endif
+}
+#endif

src/backend/cuda/wrappers/CudaDevice.h

@@ -0,0 +1,94 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDADEVICE_H
+#define XMRIG_CUDADEVICE_H
+
+
+#include "backend/common/misc/PciTopology.h"
+#include "base/tools/String.h"
+
+
+using nvid_ctx      = struct nvid_ctx;
+using nvmlDevice_t  = struct nvmlDevice_st *;
+
+
+namespace xmrig {
+
+
+class Algorithm;
+class CudaThreads;
+
+
+class CudaDevice
+{
+public:
+    CudaDevice() = delete;
+    CudaDevice(const CudaDevice &other) = delete;
+    CudaDevice(CudaDevice &&other) noexcept;
+    CudaDevice(uint32_t index, int32_t bfactor, int32_t bsleep);
+    ~CudaDevice();
+
+    size_t freeMemSize() const;
+    size_t globalMemSize() const;
+    uint32_t clock() const;
+    uint32_t computeCapability(bool major = true) const;
+    uint32_t memoryClock() const;
+    uint32_t smx() const;
+    void generate(const Algorithm &algorithm, CudaThreads &threads) const;
+
+    inline bool isValid() const                     { return m_ctx != nullptr; }
+    inline const PciTopology &topology() const      { return m_topology; }
+    inline const String &name() const               { return m_name; }
+    inline uint32_t arch() const                    { return (computeCapability(true) * 10) + computeCapability(false); }
+    inline uint32_t index() const                   { return m_index; }
+
+#   ifdef XMRIG_FEATURE_NVML
+    inline nvmlDevice_t nvmlDevice() const          { return m_nvmlDevice; }
+    inline void setNvmlDevice(nvmlDevice_t device)  { m_nvmlDevice = device; }
+#   endif
+
+#   ifdef XMRIG_FEATURE_API
+    void toJSON(rapidjson::Value &out, rapidjson::Document &doc) const;
+#   endif
+
+    CudaDevice &operator=(const CudaDevice &other)  = delete;
+    CudaDevice &operator=(CudaDevice &&other)       = delete;
+
+private:
+    const uint32_t m_index          = 0;
+    nvid_ctx *m_ctx                 = nullptr;
+    PciTopology m_topology;
+    String m_name;
+
+#   ifdef XMRIG_FEATURE_NVML
+    nvmlDevice_t m_nvmlDevice       = nullptr;
+#   endif
+};
+
+
+} // namespace xmrig
+
+
+#endif /* XMRIG_CUDADEVICE_H */

src/backend/cuda/wrappers/CudaLib.cpp

@@ -0,0 +1,330 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include <stdexcept>
+#include <uv.h>
+
+
+#include "backend/cuda/wrappers/CudaLib.h"
+
+
+namespace xmrig {
+
+
+enum Version : uint32_t
+{
+    ApiVersion,
+    DriverVersion,
+    RuntimeVersion
+};
+
+
+static uv_lib_t cudaLib;
+
+
+static const char *kAlloc                               = "alloc";
+static const char *kCnHash                              = "cnHash";
+static const char *kDeviceCount                         = "deviceCount";
+static const char *kDeviceInfo                          = "deviceInfo";
+static const char *kDeviceInit                          = "deviceInit";
+static const char *kDeviceInt                           = "deviceInt";
+static const char *kDeviceName                          = "deviceName";
+static const char *kDeviceUint                          = "deviceUint";
+static const char *kDeviceUlong                         = "deviceUlong";
+static const char *kInit                                = "init";
+static const char *kLastError                           = "lastError";
+static const char *kPluginVersion                       = "pluginVersion";
+static const char *kRelease                             = "release";
+static const char *kRxHash                              = "rxHash";
+static const char *kRxPrepare                           = "rxPrepare";
+static const char *kSetJob                              = "setJob";
+static const char *kSymbolNotFound                      = "symbol not found";
+static const char *kVersion                             = "version";
+
+
+using alloc_t                                           = nvid_ctx * (*)(uint32_t, int32_t, int32_t);
+using cnHash_t                                          = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint64_t, uint32_t *, uint32_t *);
+using deviceCount_t                                     = uint32_t (*)();
+using deviceInfo_t                                      = int32_t (*)(nvid_ctx *, int32_t, int32_t, int32_t, int32_t);
+using deviceInit_t                                      = bool (*)(nvid_ctx *);
+using deviceInt_t                                       = int32_t (*)(nvid_ctx *, CudaLib::DeviceProperty);
+using deviceName_t                                      = const char * (*)(nvid_ctx *);
+using deviceUint_t                                      = uint32_t (*)(nvid_ctx *, CudaLib::DeviceProperty);
+using deviceUlong_t                                     = uint64_t (*)(nvid_ctx *, CudaLib::DeviceProperty);
+using init_t                                            = void (*)();
+using lastError_t                                       = const char * (*)(nvid_ctx *);
+using pluginVersion_t                                   = const char * (*)();
+using release_t                                         = void (*)(nvid_ctx *);
+using rxHash_t                                          = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint32_t *, uint32_t *);
+using rxPrepare_t                                       = bool (*)(nvid_ctx *, const void *, size_t, bool, uint32_t);
+using setJob_t                                          = bool (*)(nvid_ctx *, const void *, size_t, int32_t);
+using version_t                                         = uint32_t (*)(Version);
+
+
+static alloc_t pAlloc                                   = nullptr;
+static cnHash_t pCnHash                                 = nullptr;
+static deviceCount_t pDeviceCount                       = nullptr;
+static deviceInfo_t pDeviceInfo                         = nullptr;
+static deviceInit_t pDeviceInit                         = nullptr;
+static deviceInt_t pDeviceInt                           = nullptr;
+static deviceName_t pDeviceName                         = nullptr;
+static deviceUint_t pDeviceUint                         = nullptr;
+static deviceUlong_t pDeviceUlong                       = nullptr;
+static init_t pInit                                     = nullptr;
+static lastError_t pLastError                           = nullptr;
+static pluginVersion_t pPluginVersion                   = nullptr;
+static release_t pRelease                               = nullptr;
+static rxHash_t pRxHash                                 = nullptr;
+static rxPrepare_t pRxPrepare                           = nullptr;
+static setJob_t pSetJob                                 = nullptr;
+static version_t pVersion                               = nullptr;
+
+
+#define DLSYM(x) if (uv_dlsym(&cudaLib, k##x, reinterpret_cast<void**>(&p##x)) == -1) { throw std::runtime_error(kSymbolNotFound); }
+
+
+bool CudaLib::m_initialized = false;
+bool CudaLib::m_ready       = false;
+String CudaLib::m_loader;
+
+
+} // namespace xmrig
+
+
+bool xmrig::CudaLib::init(const char *fileName)
+{
+    if (!m_initialized) {
+        m_loader      = fileName == nullptr ? defaultLoader() : fileName;
+        m_ready       = uv_dlopen(m_loader, &cudaLib) == 0 && load();
+        m_initialized = true;
+    }
+
+    return m_ready;
+}
+
+
+const char *xmrig::CudaLib::lastError() noexcept
+{
+    return uv_dlerror(&cudaLib);
+}
+
+
+void xmrig::CudaLib::close()
+{
+    uv_dlclose(&cudaLib);
+}
+
+
+bool xmrig::CudaLib::cnHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t height, uint64_t target, uint32_t *rescount, uint32_t *resnonce)
+{
+    return pCnHash(ctx, startNonce, height, target, rescount, resnonce);
+}
+
+
+bool xmrig::CudaLib::deviceInit(nvid_ctx *ctx) noexcept
+{
+    return pDeviceInit(ctx);
+}
+
+
+bool xmrig::CudaLib::rxHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept
+{
+    return pRxHash(ctx, startNonce, target, rescount, resnonce);
+}
+
+
+bool xmrig::CudaLib::rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, bool dataset_host, uint32_t batchSize) noexcept
+{
+    return pRxPrepare(ctx, dataset, datasetSize, dataset_host, batchSize);
+}
+
+
+bool xmrig::CudaLib::setJob(nvid_ctx *ctx, const void *data, size_t size, const Algorithm &algorithm) noexcept
+{
+    return pSetJob(ctx, data, size, algorithm);
+}
+
+
+const char *xmrig::CudaLib::deviceName(nvid_ctx *ctx) noexcept
+{
+    return pDeviceName(ctx);
+}
+
+
+const char *xmrig::CudaLib::lastError(nvid_ctx *ctx) noexcept
+{
+    return pLastError(ctx);
+}
+
+
+const char *xmrig::CudaLib::pluginVersion() noexcept
+{
+    return pPluginVersion();
+}
+
+
+int xmrig::CudaLib::deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host) noexcept
+{
+    return pDeviceInfo(ctx, blocks, threads, algorithm, dataset_host);
+}
+
+
+int32_t xmrig::CudaLib::deviceInt(nvid_ctx *ctx, DeviceProperty property) noexcept
+{
+    return pDeviceInt(ctx, property);
+}
+
+
+nvid_ctx *xmrig::CudaLib::alloc(uint32_t id, int32_t bfactor, int32_t bsleep) noexcept
+{
+    return pAlloc(id, bfactor, bsleep);
+}
+
+
+std::string xmrig::CudaLib::version(uint32_t version)
+{
+    return std::to_string(version / 1000) + "." + std::to_string((version % 1000) / 10);
+}
+
+
+std::vector<xmrig::CudaDevice> xmrig::CudaLib::devices(int32_t bfactor, int32_t bsleep, const std::vector<uint32_t> &hints) noexcept
+{
+    const uint32_t count = deviceCount();
+    if (!count) {
+        return {};
+    }
+
+    std::vector<CudaDevice> out;
+    out.reserve(count);
+
+    if (hints.empty()) {
+        for (uint32_t i = 0; i < count; ++i) {
+            CudaDevice device(i, bfactor, bsleep);
+            if (device.isValid()) {
+                out.emplace_back(std::move(device));
+            }
+        }
+    }
+    else {
+        for (const uint32_t i : hints) {
+            if (i >= count) {
+                continue;
+            }
+
+            CudaDevice device(i, bfactor, bsleep);
+            if (device.isValid()) {
+                out.emplace_back(std::move(device));
+            }
+        }
+    }
+
+    return out;
+}
+
+
+uint32_t xmrig::CudaLib::deviceCount() noexcept
+{
+    return pDeviceCount();
+}
+
+
+uint32_t xmrig::CudaLib::deviceUint(nvid_ctx *ctx, DeviceProperty property) noexcept
+{
+    return pDeviceUint(ctx, property);
+}
+
+
+uint32_t xmrig::CudaLib::driverVersion() noexcept
+{
+    return pVersion(DriverVersion);
+}
+
+
+uint32_t xmrig::CudaLib::runtimeVersion() noexcept
+{
+    return pVersion(RuntimeVersion);
+}
+
+
+uint64_t xmrig::CudaLib::deviceUlong(nvid_ctx *ctx, DeviceProperty property) noexcept
+{
+    return pDeviceUlong(ctx, property);
+}
+
+
+void xmrig::CudaLib::release(nvid_ctx *ctx) noexcept
+{
+    pRelease(ctx);
+}
+
+
+bool xmrig::CudaLib::load()
+{
+    if (uv_dlsym(&cudaLib, kVersion, reinterpret_cast<void**>(&pVersion)) == -1) {
+        return false;
+    }
+
+    if (pVersion(ApiVersion) != 2u) {
+        return false;
+    }
+
+    try {
+        DLSYM(Alloc);
+        DLSYM(CnHash);
+        DLSYM(DeviceCount);
+        DLSYM(DeviceInfo);
+        DLSYM(DeviceInit);
+        DLSYM(DeviceInt);
+        DLSYM(DeviceName);
+        DLSYM(DeviceUint);
+        DLSYM(DeviceUlong);
+        DLSYM(Init);
+        DLSYM(LastError);
+        DLSYM(PluginVersion);
+        DLSYM(Release);
+        DLSYM(RxHash);
+        DLSYM(RxPrepare);
+        DLSYM(SetJob);
+        DLSYM(Version);
+    } catch (std::exception &ex) {
+        return false;
+    }
+
+    pInit();
+
+    return true;
+}
+
+
+const char *xmrig::CudaLib::defaultLoader()
+{
+#   if defined(__APPLE__)
+    return "/System/Library/Frameworks/OpenCL.framework/OpenCL"; // FIXME
+#   elif defined(_WIN32)
+    return "xmrig-cuda.dll";
+#   else
+    return "libxmrig-cuda.so";
+#   endif
+}

src/backend/cuda/wrappers/CudaLib.h

@@ -0,0 +1,109 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_CUDALIB_H
+#define XMRIG_CUDALIB_H
+
+
+using nvid_ctx = struct nvid_ctx;
+
+
+#include "backend/cuda/wrappers/CudaDevice.h"
+#include "base/tools/String.h"
+#include "crypto/common/Algorithm.h"
+
+
+#include <vector>
+#include <string>
+
+
+namespace xmrig {
+
+
+class CudaLib
+{
+public:
+    enum DeviceProperty : uint32_t
+    {
+        DeviceId,
+        DeviceAlgorithm,
+        DeviceArchMajor,
+        DeviceArchMinor,
+        DeviceSmx,
+        DeviceBlocks,
+        DeviceThreads,
+        DeviceBFactor,
+        DeviceBSleep,
+        DeviceClockRate,
+        DeviceMemoryClockRate,
+        DeviceMemoryTotal,
+        DeviceMemoryFree,
+        DevicePciBusID,
+        DevicePciDeviceID,
+        DevicePciDomainID,
+        DeviceDatasetHost,
+    };
+
+    static bool init(const char *fileName = nullptr);
+    static const char *lastError() noexcept;
+    static void close();
+
+    static inline bool isInitialized()    { return m_initialized; }
+    static inline bool isReady() noexcept { return m_ready; }
+    static inline const String &loader()  { return m_loader; }
+
+    static bool cnHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t height, uint64_t target, uint32_t *rescount, uint32_t *resnonce);
+    static bool deviceInit(nvid_ctx *ctx) noexcept;
+    static bool rxHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept;
+    static bool rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, bool dataset_host, uint32_t batchSize) noexcept;
+    static bool setJob(nvid_ctx *ctx, const void *data, size_t size, const Algorithm &algorithm) noexcept;
+    static const char *deviceName(nvid_ctx *ctx) noexcept;
+    static const char *lastError(nvid_ctx *ctx) noexcept;
+    static const char *pluginVersion() noexcept;
+    static int deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host = -1) noexcept;
+    static int32_t deviceInt(nvid_ctx *ctx, DeviceProperty property) noexcept;
+    static nvid_ctx *alloc(uint32_t id, int32_t bfactor, int32_t bsleep) noexcept;
+    static std::string version(uint32_t version);
+    static std::vector<CudaDevice> devices(int32_t bfactor, int32_t bsleep, const std::vector<uint32_t> &hints) noexcept;
+    static uint32_t deviceCount() noexcept;
+    static uint32_t deviceUint(nvid_ctx *ctx, DeviceProperty property) noexcept;
+    static uint32_t driverVersion() noexcept;
+    static uint32_t runtimeVersion() noexcept;
+    static uint64_t deviceUlong(nvid_ctx *ctx, DeviceProperty property) noexcept;
+    static void release(nvid_ctx *ctx) noexcept;
+
+private:
+    static bool load();
+    static const char *defaultLoader();
+
+    static bool m_initialized;
+    static bool m_ready;
+    static String m_loader;
+};
+
+
+} // namespace xmrig
+
+
+#endif /* XMRIG_CUDALIB_H */

src/backend/cuda/wrappers/NvmlHealth.h

@@ -0,0 +1,43 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_NVMLHEALTH_H
+#define XMRIG_NVMLHEALTH_H
+
+
+#include <cstdint>
+#include <vector>
+
+
+struct NvmlHealth
+{
+    std::vector<uint32_t> fanSpeed;
+    uint32_t clock          = 0;
+    uint32_t memClock       = 0;
+    uint32_t power          = 0;
+    uint32_t temperature    = 0;
+};
+
+
+#endif /* XMRIG_NVMLHEALTH_H */

src/backend/cuda/wrappers/NvmlLib.cpp

@@ -0,0 +1,227 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+#include <stdexcept>
+#include <uv.h>
+
+
+#include "backend/cuda/wrappers/NvmlLib.h"
+#include "backend/cuda/wrappers/nvml_lite.h"
+#include "base/io/log/Log.h"
+
+
+
+namespace xmrig {
+
+
+static uv_lib_t nvmlLib;
+
+
+static const char *kNvmlDeviceGetClockInfo                          = "nvmlDeviceGetClockInfo";
+static const char *kNvmlDeviceGetCount                              = "nvmlDeviceGetCount_v2";
+static const char *kNvmlDeviceGetFanSpeed                           = "nvmlDeviceGetFanSpeed";
+static const char *kNvmlDeviceGetFanSpeed_v2                        = "nvmlDeviceGetFanSpeed_v2";
+static const char *kNvmlDeviceGetHandleByIndex                      = "nvmlDeviceGetHandleByIndex_v2";
+static const char *kNvmlDeviceGetPciInfo                            = "nvmlDeviceGetPciInfo_v2";
+static const char *kNvmlDeviceGetPowerUsage                         = "nvmlDeviceGetPowerUsage";
+static const char *kNvmlDeviceGetTemperature                        = "nvmlDeviceGetTemperature";
+static const char *kNvmlInit                                        = "nvmlInit_v2";
+static const char *kNvmlShutdown                                    = "nvmlShutdown";
+static const char *kNvmlSystemGetDriverVersion                      = "nvmlSystemGetDriverVersion";
+static const char *kNvmlSystemGetNVMLVersion                        = "nvmlSystemGetNVMLVersion";
+static const char *kSymbolNotFound                                  = "symbol not found";
+
+
+static nvmlReturn_t (*pNvmlDeviceGetClockInfo)(nvmlDevice_t device, uint32_t type, uint32_t *clock)                         = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetCount)(uint32_t *deviceCount)                                                           = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetFanSpeed_v2)(nvmlDevice_t device, uint32_t fan, uint32_t *speed)                        = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetFanSpeed)(nvmlDevice_t device, uint32_t *speed)                                         = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetHandleByIndex)(uint32_t index, nvmlDevice_t *device)                                    = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetPciInfo)(nvmlDevice_t device, nvmlPciInfo_t *pci)                                       = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetPowerUsage)(nvmlDevice_t device, uint32_t *power)                                       = nullptr;
+static nvmlReturn_t (*pNvmlDeviceGetTemperature)(nvmlDevice_t device, uint32_t sensorType, uint32_t *temp)                  = nullptr;
+static nvmlReturn_t (*pNvmlInit)()                                                                                          = nullptr;
+static nvmlReturn_t (*pNvmlShutdown)()                                                                                      = nullptr;
+static nvmlReturn_t (*pNvmlSystemGetDriverVersion)(char *version, uint32_t length)                                          = nullptr;
+static nvmlReturn_t (*pNvmlSystemGetNVMLVersion)(char *version, uint32_t length)                                            = nullptr;
+
+
+#define DLSYM(x) if (uv_dlsym(&nvmlLib, k##x, reinterpret_cast<void**>(&p##x)) == -1) { throw std::runtime_error(kSymbolNotFound); }
+
+
+bool NvmlLib::m_initialized         = false;
+bool NvmlLib::m_ready               = false;
+char NvmlLib::m_driverVersion[80]   = { 0 };
+char NvmlLib::m_nvmlVersion[80]     = { 0 };
+String NvmlLib::m_loader;
+
+
+} // namespace xmrig
+
+
+bool xmrig::NvmlLib::init(const char *fileName)
+{
+    if (!m_initialized) {
+        m_loader      = fileName;
+        m_ready       = dlopen() && load();
+        m_initialized = true;
+    }
+
+    return m_ready;
+}
+
+
+const char *xmrig::NvmlLib::lastError() noexcept
+{
+    return uv_dlerror(&nvmlLib);
+}
+
+
+void xmrig::NvmlLib::close()
+{
+    if (m_ready) {
+        pNvmlShutdown();
+    }
+
+    uv_dlclose(&nvmlLib);
+}
+
+
+bool xmrig::NvmlLib::assign(std::vector<CudaDevice> &devices)
+{
+    uint32_t count = 0;
+    if (pNvmlDeviceGetCount(&count) != NVML_SUCCESS) {
+        return false;
+    }
+
+    for (uint32_t i = 0; i < count; i++) {
+        nvmlDevice_t nvmlDevice;
+        if (pNvmlDeviceGetHandleByIndex(i, &nvmlDevice) != NVML_SUCCESS) {
+            continue;
+        }
+
+        nvmlPciInfo_t pci;
+        if (pNvmlDeviceGetPciInfo(nvmlDevice, &pci) != NVML_SUCCESS) {
+            continue;
+        }
+
+        for (auto &device : devices) {
+            if (device.topology().bus() == pci.bus && device.topology().device() == pci.device) {
+                device.setNvmlDevice(nvmlDevice);
+            }
+        }
+    }
+
+    return true;
+}
+
+
+NvmlHealth xmrig::NvmlLib::health(nvmlDevice_t device)
+{
+    if (!device) {
+        return {};
+    }
+
+    NvmlHealth health;
+    pNvmlDeviceGetTemperature(device, NVML_TEMPERATURE_GPU, &health.temperature);
+    pNvmlDeviceGetPowerUsage(device, &health.power);
+    pNvmlDeviceGetClockInfo(device, NVML_CLOCK_SM, &health.clock);
+    pNvmlDeviceGetClockInfo(device, NVML_CLOCK_MEM, &health.memClock);
+
+    if (health.power) {
+        health.power /= 1000;
+    }
+
+    uint32_t speed = 0;
+
+    if (pNvmlDeviceGetFanSpeed_v2) {
+        uint32_t i = 0;
+
+        while (pNvmlDeviceGetFanSpeed_v2(device, i, &speed) == NVML_SUCCESS) {
+            health.fanSpeed.push_back(speed);
+            ++i;
+        }
+
+    }
+    else {
+        pNvmlDeviceGetFanSpeed(device, &speed);
+
+        health.fanSpeed.push_back(speed);
+    }
+
+    return health;
+}
+
+
+bool xmrig::NvmlLib::dlopen()
+{
+    if (!m_loader.isNull()) {
+        return uv_dlopen(m_loader, &nvmlLib) == 0;
+    }
+
+#   ifdef _WIN32
+    if (uv_dlopen("nvml.dll", &nvmlLib) == 0) {
+        return true;
+    }
+
+    char path[MAX_PATH] = { 0 };
+    ExpandEnvironmentStringsA("%PROGRAMFILES%\\NVIDIA Corporation\\NVSMI\\nvml.dll", path, sizeof(path));
+
+    return uv_dlopen(path, &nvmlLib) == 0;
+#   else
+    return uv_dlopen("libnvidia-ml.so", &nvmlLib) == 0;
+#   endif
+}
+
+
+bool xmrig::NvmlLib::load()
+{
+    try {
+        DLSYM(NvmlDeviceGetClockInfo);
+        DLSYM(NvmlDeviceGetCount);
+        DLSYM(NvmlDeviceGetFanSpeed);
+        DLSYM(NvmlDeviceGetHandleByIndex);
+        DLSYM(NvmlDeviceGetPciInfo);
+        DLSYM(NvmlDeviceGetPowerUsage);
+        DLSYM(NvmlDeviceGetTemperature);
+        DLSYM(NvmlInit);
+        DLSYM(NvmlShutdown);
+        DLSYM(NvmlSystemGetDriverVersion);
+        DLSYM(NvmlSystemGetNVMLVersion);
+    } catch (std::exception &ex) {
+        return false;
+    }
+
+    uv_dlsym(&nvmlLib, kNvmlDeviceGetFanSpeed_v2, reinterpret_cast<void**>(&pNvmlDeviceGetFanSpeed_v2));
+
+    if (pNvmlInit() != NVML_SUCCESS) {
+        return false;
+    }
+
+    pNvmlSystemGetDriverVersion(m_driverVersion, sizeof(m_driverVersion));
+    pNvmlSystemGetNVMLVersion(m_nvmlVersion, sizeof(m_nvmlVersion));
+
+    return true;
+}

src/backend/cuda/wrappers/NvmlLib.h

@@ -0,0 +1,66 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_NVMLLIB_H
+#define XMRIG_NVMLLIB_H
+
+
+#include "backend/cuda/wrappers/CudaDevice.h"
+#include "backend/cuda/wrappers/NvmlHealth.h"
+
+
+namespace xmrig {
+
+
+class NvmlLib
+{
+public:
+    static bool init(const char *fileName = nullptr);
+    static const char *lastError() noexcept;
+    static void close();
+
+    static bool assign(std::vector<CudaDevice> &devices);
+    static NvmlHealth health(nvmlDevice_t device);
+
+    static inline bool isInitialized() noexcept         { return m_initialized; }
+    static inline bool isReady() noexcept               { return m_ready; }
+    static inline const char *driverVersion() noexcept  { return m_driverVersion; }
+    static inline const char *version() noexcept        { return m_nvmlVersion; }
+
+private:
+    static bool dlopen();
+    static bool load();
+
+    static bool m_initialized;
+    static bool m_ready;
+    static char m_driverVersion[80];
+    static char m_nvmlVersion[80];
+    static String m_loader;
+};
+
+
+} // namespace xmrig
+
+
+#endif /* XMRIG_NVMLLIB_H */

src/backend/cuda/wrappers/nvml_lite.h

@@ -0,0 +1,55 @@
+/* XMRig
+ * Copyright 2010      Jeff Garzik <jgarzik@pobox.com>
+ * Copyright 2012-2014 pooler      <pooler@litecoinpool.org>
+ * Copyright 2014      Lucas Jones <https://github.com/lucasjones>
+ * Copyright 2014-2016 Wolf9466    <https://github.com/OhGodAPet>
+ * Copyright 2016      Jay D Dee   <jayddee246@gmail.com>
+ * Copyright 2017-2018 XMR-Stak    <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
+ * Copyright 2018-2019 SChernykh   <https://github.com/SChernykh>
+ * Copyright 2016-2019 XMRig       <https://github.com/xmrig>, <support@xmrig.com>
+ *
+ *   This program is free software: you can redistribute it and/or modify
+ *   it under the terms of the GNU General Public License as published by
+ *   the Free Software Foundation, either version 3 of the License, or
+ *   (at your option) any later version.
+ *
+ *   This program is distributed in the hope that it will be useful,
+ *   but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ *   GNU General Public License for more details.
+ *
+ *   You should have received a copy of the GNU General Public License
+ *   along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#ifndef XMRIG_NVML_LITE_H
+#define XMRIG_NVML_LITE_H
+
+
+#include <cstdint>
+
+
+#define NVML_SUCCESS         0
+#define NVML_TEMPERATURE_GPU 0
+#define NVML_CLOCK_SM        1
+#define NVML_CLOCK_MEM       2
+
+
+using nvmlReturn_t = uint32_t;
+using nvmlDevice_t = struct nvmlDevice_st *;
+
+
+struct nvmlPciInfo_t
+{
+    char busIdLegacy[16]{};
+    unsigned int domain         = 0;
+    unsigned int bus            = 0;
+    unsigned int device         = 0;
+    unsigned int pciDeviceId    = 0;
+    unsigned int pciSubSystemId = 0;
+
+    char busId[32]{};
+};
+
+
+#endif /* XMRIG_NVML_LITE_H */

src/backend/opencl/OclBackend.cpp

@@ -58,7 +58,7 @@ namespace xmrig {
 extern template class Threads<OclThreads>;
 
 
-constexpr const size_t oneMiB   = 1024u * 1024u;
+constexpr const size_t oneMiB   = 1024U * 1024U;
 static const char *tag          = MAGENTA_BG_BOLD(WHITE_BOLD_S " ocl ");
 static const String kType       = "opencl";
 static std::mutex mutex;
@@ -153,7 +153,8 @@ public:
         Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") CYAN_BOLD("#%zu ") WHITE_BOLD("%s") "/" WHITE_BOLD("%s"), "OPENCL", platform.index(), platform.name().data(), platform.version().data());
 
         for (const OclDevice &device : devices) {
-            Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") CYAN_BOLD("#%zu") YELLOW(" %s") " %s " WHITE_BOLD("%uMHz") " cu:" WHITE_BOLD("%u") " mem:" CYAN("%zu/%zu") " MB", "OPENCL GPU",
+            Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") CYAN_BOLD("#%zu") YELLOW(" %s") " %s " WHITE_BOLD("%u MHz") " cu:" WHITE_BOLD("%u") " mem:" CYAN("%zu/%zu") " MB",
+                       "OPENCL GPU",
                        device.index(),
                        device.topology().toString().data(),
                        device.printableName().data(),
@@ -167,10 +168,11 @@ public:
 
     inline void start(const Job &job)
     {
-        LOG_INFO("%s use profile " BLUE_BG(WHITE_BOLD_S " %s ") WHITE_BOLD_S " (" CYAN_BOLD("%zu") WHITE_BOLD(" threads)") " scratchpad " CYAN_BOLD("%zu KB"),
+        LOG_INFO("%s use profile " BLUE_BG(WHITE_BOLD_S " %s ") WHITE_BOLD_S " (" CYAN_BOLD("%zu") WHITE_BOLD(" thread%s)") " scratchpad " CYAN_BOLD("%zu KB"),
                  tag,
                  profileName.data(),
                  threads.size(),
+                 threads.size() > 1 ? "s" : "",
                  algo.l3() / 1024
                  );
 
@@ -284,7 +286,7 @@ void xmrig::OclBackend::printHashrate(bool details)
     Log::print(WHITE_BOLD_S "| OPENCL # | AFFINITY | 10s H/s | 60s H/s | 15m H/s |");
 
     size_t i = 0;
-    for (const OclLaunchData &data : d_ptr->threads) {
+    for (const auto &data : d_ptr->threads) {
          Log::print("| %8zu | %8" PRId64 " | %7s | %7s | %7s |" CYAN_BOLD(" #%u") YELLOW(" %s") " %s",
                     i,
                     data.affinity,
@@ -309,7 +311,7 @@ void xmrig::OclBackend::printHashrate(bool details)
 
 void xmrig::OclBackend::setJob(const Job &job)
 {
-    const OclConfig &cl = d_ptr->controller->config()->cl();
+    const auto &cl = d_ptr->controller->config()->cl();
     if (cl.isEnabled()) {
         d_ptr->init(cl);
     }
@@ -318,7 +320,7 @@ void xmrig::OclBackend::setJob(const Job &job)
         return stop();
     }
 
-    std::vector<OclLaunchData> threads = cl.get(d_ptr->controller->miner(), job.algorithm(), d_ptr->platform, d_ptr->devices, tag);
+    auto threads = cl.get(d_ptr->controller->miner(), job.algorithm(), d_ptr->platform, d_ptr->devices);
     if (!d_ptr->threads.empty() && d_ptr->threads.size() == threads.size() && std::equal(d_ptr->threads.begin(), d_ptr->threads.end(), threads.begin())) {
         return;
     }
@@ -408,7 +410,7 @@ rapidjson::Value xmrig::OclBackend::toJSON(rapidjson::Document &doc) const
     Value threads(kArrayType);
 
     size_t i = 0;
-    for (const OclLaunchData &data : d_ptr->threads) {
+    for (const auto &data : d_ptr->threads) {
         Value thread = data.thread.toJSON(doc);
         thread.AddMember("affinity", data.affinity, allocator);
         thread.AddMember("hashrate", hashrate()->toJSON(i, doc), allocator);

src/backend/opencl/OclBackend.h

@@ -30,6 +30,7 @@
 
 
 #include "backend/common/interfaces/IBackend.h"
+#include "base/tools/Object.h"
 
 
 namespace xmrig {
@@ -43,17 +44,15 @@ class Miner;
 class OclBackend : public IBackend
 {
 public:
-    OclBackend()                        = delete;
-    OclBackend(const OclBackend &other) = delete;
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(OclBackend)
+
     OclBackend(Controller *controller);
-    OclBackend(OclBackend &&other)      = delete;
 
     ~OclBackend() override;
 
-    OclBackend &operator=(const OclBackend &other) = delete;
-    OclBackend &operator=(OclBackend &&other)      = delete;
-
 protected:
+    inline void execCommand(char) override {}
+
     bool isEnabled() const override;
     bool isEnabled(const Algorithm &algorithm) const override;
     const Hashrate *hashrate() const override;

src/backend/opencl/OclConfig.cpp

@@ -24,6 +24,7 @@
 
 
 #include "backend/opencl/OclConfig.h"
+#include "backend/common/Tags.h"
 #include "backend/opencl/OclConfig_gen.h"
 #include "backend/opencl/wrappers/OclLib.h"
 #include "base/io/json/Json.h"
@@ -113,10 +114,10 @@ rapidjson::Value xmrig::OclConfig::toJSON(rapidjson::Document &doc) const
 }
 
 
-std::vector<xmrig::OclLaunchData> xmrig::OclConfig::get(const Miner *miner, const Algorithm &algorithm, const OclPlatform &platform, const std::vector<OclDevice> &devices, const char *tag) const
+std::vector<xmrig::OclLaunchData> xmrig::OclConfig::get(const Miner *miner, const Algorithm &algorithm, const OclPlatform &platform, const std::vector<OclDevice> &devices) const
 {
     std::vector<OclLaunchData> out;
-    const OclThreads &threads = m_threads.get(algorithm);
+    const auto &threads = m_threads.get(algorithm);
 
     if (threads.isEmpty()) {
         return out;
@@ -124,9 +125,9 @@ std::vector<xmrig::OclLaunchData> xmrig::OclConfig::get(const Miner *miner, cons
 
     out.reserve(threads.count() * 2);
 
-    for (const OclThread &thread : threads.data()) {
+    for (const auto &thread : threads.data()) {
         if (thread.index() >= devices.size()) {
-            LOG_INFO("%s" YELLOW(" skip non-existing device with index ") YELLOW_BOLD("%u"), tag, thread.index());
+            LOG_INFO("%s" YELLOW(" skip non-existing device with index ") YELLOW_BOLD("%u"), ocl_tag(), thread.index());
             continue;
         }
 

src/backend/opencl/OclConfig.h

@@ -42,7 +42,7 @@ public:
 
     OclPlatform platform() const;
     rapidjson::Value toJSON(rapidjson::Document &doc) const;
-    std::vector<OclLaunchData> get(const Miner *miner, const Algorithm &algorithm, const OclPlatform &platform, const std::vector<OclDevice> &devices, const char *tag) const;
+    std::vector<OclLaunchData> get(const Miner *miner, const Algorithm &algorithm, const OclPlatform &platform, const std::vector<OclDevice> &devices) const;
     void read(const rapidjson::Value &value);
 
     inline bool isCacheEnabled() const                  { return m_cache; }

src/backend/opencl/OclConfig_gen.h

@@ -55,7 +55,7 @@ size_t inline generate<Algorithm::CN>(Threads<OclThreads> &threads, const std::v
 {
     size_t count = 0;
 
-    count += generate("cn", threads, Algorithm::CN_0, devices);
+    count += generate("cn", threads, Algorithm::CN_1, devices);
     count += generate("cn/2", threads, Algorithm::CN_2, devices);
 
     if (!threads.isExist(Algorithm::CN_0)) {

src/backend/opencl/OclThreads.cpp

@@ -46,7 +46,7 @@ xmrig::OclThreads::OclThreads(const rapidjson::Value &value)
 
 xmrig::OclThreads::OclThreads(const std::vector<OclDevice> &devices, const Algorithm &algorithm)
 {
-    for (const OclDevice &device : devices) {
+    for (const auto &device : devices) {
         device.generate(algorithm, *this);
     }
 }

src/backend/opencl/OclWorker.cpp

@@ -206,7 +206,7 @@ bool xmrig::OclWorker::consumeJob()
         return false;
     }
 
-    m_job.add(m_miner->job(), Nonce::sequence(Nonce::OPENCL), roundSize(m_intensity) * m_intensity);
+    m_job.add(m_miner->job(), roundSize(m_intensity) * m_intensity, Nonce::OPENCL);
 
     try {
         m_runner->set(m_job.currentJob(), m_job.blob());

src/backend/opencl/OclWorker.h

@@ -30,6 +30,7 @@
 #include "backend/common/Worker.h"
 #include "backend/common/WorkerJob.h"
 #include "backend/opencl/OclLaunchData.h"
+#include "base/tools/Object.h"
 #include "net/JobResult.h"
 
 
@@ -42,16 +43,12 @@ class IOclRunner;
 class OclWorker : public Worker
 {
 public:
-    OclWorker()                       = delete;
-    OclWorker(const OclWorker &other) = delete;
-    OclWorker(OclWorker &&other)      = delete;
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(OclWorker)
+
     OclWorker(size_t id, const OclLaunchData &data);
 
     ~OclWorker() override;
 
-    OclWorker &operator=(const OclWorker &other) = delete;
-    OclWorker &operator=(OclWorker &&other)      = delete;
-
     static std::atomic<bool> ready;
 
 protected:

src/backend/opencl/cl/cn/cryptonight_r_cl.h

@@ -2,379 +2,358 @@
 
 namespace xmrig {
 
-static char cryptonight_r_defines_cl[8353] = {
-    0x23,0x69,0x66,0x64,0x65,0x66,0x20,0x5f,0x5f,0x4e,0x56,0x5f,0x43,0x4c,0x5f,0x43,0x5f,0x56,0x45,0x52,0x53,0x49,0x4f,0x4e,0x0d,0x23,0x64,0x65,0x66,0x69,0x6e,0x65,
+static char cryptonight_r_defines_cl[7709] = {
+    0x23,0x69,0x66,0x64,0x65,0x66,0x20,0x5f,0x5f,0x4e,0x56,0x5f,0x43,0x4c,0x5f,0x43,0x5f,0x56,0x45,0x52,0x53,0x49,0x4f,0x4e,0x0a,0x23,0x64,0x65,0x66,0x69,0x6e,0x65,
     0x20,0x53,0x43,0x52,0x41,0x54,0x43,0x48,0x50,0x41,0x44,0x5f,0x43,0x48,0x55,0x4e,0x4b,0x28,0x4e,0x29,0x20,0x28,0x2a,0x28,0x5f,0x5f,0x6c,0x6f,0x63,0x61,0x6c,0x20,
     0x75,0x69,0x6e,0x74,0x34,0x2a,0x29,0x28,0x28,0x5f,0x5f,0x6c,0x6f,0x63,0x61,0x6c,0x20,0x75,0x63,0x68,0x61,0x72,0x2a,0x29,0x28,0x73,0x63,0x72,0x61,0x74,0x63,0x68,
-    0x70,0x61,0x64,0x5f,0x6c,0x69,0x6e,0x65,0x29,0x20,0x2b,0x20,0x28,0x69,0x64,0x78,0x31,0x20,0x5e,0x20,0x28,0x4e,0x20,0x3c,0x3c,0x20,0x34,0x29,0x29,0x29,0x29,0x0d,
-    0x23,0x65,0x6c,0x73,0x65,0x0d,0x23,0x69,0x66,0x20,0x28,0x53,0x54,0x52,0x49,0x44,0x45,0x44,0x5f,0x49,0x4e,0x44,0x45,0x58,0x20,0x3d,0x3d,0x20,0x30,0x29,0x0d,0x23,
+    0x70,0x61,0x64,0x5f,0x6c,0x69,0x6e,0x65,0x29,0x20,0x2b,0x20,0x28,0x69,0x64,0x78,0x31,0x20,0x5e,0x20,0x28,0x4e,0x20,0x3c,0x3c,0x20,0x34,0x29,0x29,0x29,0x29,0x0a,
+    0x23,0x65,0x6c,0x73,0x65,0x0a,0x23,0x69,0x66,0x20,0x28,0x53,0x54,0x52,0x49,0x44,0x45,0x44,0x5f,0x49,0x4e,0x44,0x45,0x58,0x20,0x3d,0x3d,0x20,0x30,0x29,0x0a,0x23,
     0x64,0x65,0x66,0x69,0x6e,0x65,0x20,0x53,0x43,0x52,0x41,0x54,0x43,0x48,0x50,0x41,0x44,0x5f,0x43,0x48,0x55,0x4e,0x4b,0x28,0x4e,0x29,0x20,0x28,0x2a,0x28,0x5f,0x5f,
     0x67,0x6c,0x6f,0x62,0x61,0x6c,0x20,0x75,0x69,0x6e,0x74,0x34,0x2a,0x29,0x28,0x28,0x5f,0x5f,0x67,0x6c,0x6f,0x62,0x61,0x6c,0x20,0x75,0x63,0x68,0x61,0x72,0x2a,0x29,
     0x28,0x53,0x63,0x72,0x61,0x74,0x63,0x68,0x70,0x61,0x64,0x29,0x20,0x2b,0x20,0x28,0x69,0x64,0x78,0x20,0x5e,0x20,0x28,0x4e,0x20,0x3c,0x3c,0x20,0x34,0x29,0x29,0x29,
-    0x29,0x0d,0x23,0x65,0x6c,0x69,0x66,0x20,0x28,0x53,0x54,0x52,0x49,0x44,0x45,0x44,0x5f,0x49,0x4e,0x44,0x45,0x58,0x20,0x3d,0x3d,0x20,0x31,0x29,0x0d,0x23,0x64,0x65,
+    0x29,0x0a,0x23,0x65,0x6c,0x69,0x66,0x20,0x28,0x53,0x54,0x52,0x49,0x44,0x45,0x44,0x5f,0x49,0x4e,0x44,0x45,0x58,0x20,0x3d,0x3d,0x20,0x31,0x29,0x0a,0x23,0x64,0x65,
     0x66,0x69,0x6e,0x65,0x20,0x53,0x43,0x52,0x41,0x54,0x43,0x48,0x50,0x41,0x44,0x5f,0x43,0x48,0x55,0x4e,0x4b,0x28,0x4e,0x29,0x20,0x28,0x2a,0x28,0x5f,0x5f,0x67,0x6c,
     0x6f,0x62,0x61,0x6c,0x20,0x75,0x69,0x6e,0x74,0x34,0x2a,0x29,0x28,0x28,0x5f,0x5f,0x67,0x6c,0x6f,0x62,0x61,0x6c,0x20,0x75,0x63,0x68,0x61,0x72,0x2a,0x29,0x28,0x53,
     0x63,0x72,0x61,0x74,0x63,0x68,0x70,0x61,0x64,0x29,0x20,0x2b,0x20,0x6d,0x75,0x6c,0x32,0x34,0x28,0x61,0x73,0x5f,0x75,0x69,0x6e,0x74,0x28,0x69,0x64,0x78,0x20,0x5e,
-    0x20,0x28,0x4e,0x20,0x3c,0x3c,0x20,0x34,0x29,0x29,0x2c,0x20,0x54,0x68,0x72,0x65,0x61,0x64,0x73,0x29,0x29,0x29,0x0d,0x23,0x65,0x6c,0x69,0x66,0x20,0x28,0x53,0x54,
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-static char cryptonight_r_cl[3415] = {
+static char cryptonight_r_cl[3424] = {
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+    0x66,0x65,0x6e,0x63,0x65,0x28,0x43,0x4c,0x4b,0x5f,0x47,0x4c,0x4f,0x42,0x41,0x4c,0x5f,0x4d,0x45,0x4d,0x5f,0x46,0x45,0x4e,0x43,0x45,0x29,0x3b,0x0a,0x7d,0x0a,0x00
 };
 
 } // namespace xmrig

src/backend/opencl/runners/OclBaseRunner.cpp

@@ -39,8 +39,8 @@ constexpr size_t oneGiB = 1024 * 1024 * 1024;
 
 
 xmrig::OclBaseRunner::OclBaseRunner(size_t id, const OclLaunchData &data) :
-    m_algorithm(data.algorithm),
     m_ctx(data.ctx),
+    m_algorithm(data.algorithm),
     m_source(OclSource::get(data.algorithm)),
     m_data(data),
     m_align(OclLib::getUint(data.device.id(), CL_DEVICE_MEM_BASE_ADDR_ALIGN)),
@@ -99,12 +99,14 @@ void xmrig::OclBaseRunner::init()
 {
     m_queue = OclLib::createCommandQueue(m_ctx, data().device.id());
 
-    size_t size = align(bufferSize());
+    size_t size         = align(bufferSize());
+    const size_t limit  = data().device.freeMemSize();
 
-    if (size < oneGiB && data().device.vendorId() == OCL_VENDOR_AMD && data().device.freeMemSize() >= oneGiB) {
-        m_buffer = OclSharedState::get(data().device.index()).createBuffer(m_ctx, size, m_offset);
+    if (size < oneGiB && data().device.vendorId() == OCL_VENDOR_AMD && limit >= oneGiB) {
+        m_buffer = OclSharedState::get(data().device.index()).createBuffer(m_ctx, size, m_offset, limit);
     }
-    else {
+
+    if (!m_buffer) {
         m_buffer = OclLib::createBuffer(m_ctx, CL_MEM_READ_WRITE, size);
     }
 

src/backend/opencl/runners/OclBaseRunner.h

@@ -70,21 +70,21 @@ protected:
     void enqueueWriteBuffer(cl_mem buffer, cl_bool blocking_write, size_t offset, size_t size, const void *ptr);
     void finalize(uint32_t *hashOutput);
 
-    Algorithm m_algorithm;
     cl_command_queue m_queue    = nullptr;
     cl_context m_ctx;
     cl_mem m_buffer             = nullptr;
     cl_mem m_input              = nullptr;
     cl_mem m_output             = nullptr;
     cl_program m_program        = nullptr;
+    const Algorithm m_algorithm;
     const char *m_source;
     const OclLaunchData &m_data;
     const size_t m_align;
     const size_t m_threadId;
+    const uint32_t m_intensity;
     size_t m_offset             = 0;
     std::string m_deviceKey;
     std::string m_options;
-    uint32_t m_intensity;
 };
 
 

src/backend/opencl/runners/tools/OclSharedData.cpp

@@ -40,12 +40,19 @@
 constexpr size_t oneGiB = 1024 * 1024 * 1024;
 
 
-cl_mem xmrig::OclSharedData::createBuffer(cl_context context, size_t size, size_t &offset)
+cl_mem xmrig::OclSharedData::createBuffer(cl_context context, size_t size, size_t &offset, size_t limit)
 {
     std::lock_guard<std::mutex> lock(m_mutex);
 
-    offset += size * m_offset++;
-    size   = std::max(size * m_threads, oneGiB);
+    const size_t pos = offset + (size * m_offset);
+    size             = std::max(size * m_threads, oneGiB);
+
+    if (size > limit) {
+        return nullptr;
+    }
+
+    offset = pos;
+    ++m_offset;
 
     if (!m_buffer) {
         m_buffer = OclLib::createBuffer(context, CL_MEM_READ_WRITE, size);

src/backend/opencl/runners/tools/OclSharedData.h

@@ -45,7 +45,7 @@ class OclSharedData
 public:
     OclSharedData() = default;
 
-    cl_mem createBuffer(cl_context context, size_t size, size_t &offset);
+    cl_mem createBuffer(cl_context context, size_t size, size_t &offset, size_t limit);
     uint64_t adjustDelay(size_t id);
     uint64_t resumeDelay(size_t id);
     void release();

src/backend/opencl/wrappers/OclDevice.cpp

@@ -132,6 +132,8 @@ xmrig::OclDevice::OclDevice(uint32_t index, cl_device_id id, cl_platform_id plat
     m_board(OclLib::getString(id, 0x4038 /* CL_DEVICE_BOARD_NAME_AMD */)),
     m_name(OclLib::getString(id, CL_DEVICE_NAME)),
     m_vendor(OclLib::getString(id, CL_DEVICE_VENDOR)),
+    m_maxMemoryAlloc(OclLib::getUlong(id, CL_DEVICE_MAX_MEM_ALLOC_SIZE)),
+    m_globalMemory(OclLib::getUlong(id, CL_DEVICE_GLOBAL_MEM_SIZE)),
     m_computeUnits(OclLib::getUint(id, CL_DEVICE_MAX_COMPUTE_UNITS, 1)),
     m_index(index)
 {
@@ -155,24 +157,6 @@ xmrig::OclDevice::OclDevice(uint32_t index, cl_device_id id, cl_platform_id plat
 }
 
 
-size_t xmrig::OclDevice::freeMemSize() const
-{
-    return std::min(maxMemAllocSize(), globalMemSize());
-}
-
-
-size_t xmrig::OclDevice::globalMemSize() const
-{
-    return OclLib::getUlong(id(), CL_DEVICE_GLOBAL_MEM_SIZE);
-}
-
-
-size_t xmrig::OclDevice::maxMemAllocSize() const
-{
-    return OclLib::getUlong(id(), CL_DEVICE_MAX_MEM_ALLOC_SIZE);
-}
-
-
 xmrig::String xmrig::OclDevice::printableName() const
 {
     const size_t size = m_board.size() + m_name.size() + 64;

src/backend/opencl/wrappers/OclDevice.h

@@ -26,13 +26,13 @@
 #define XMRIG_OCLDEVICE_H
 
 
-#include <vector>
-
-
 #include "backend/common/misc/PciTopology.h"
 #include "backend/opencl/wrappers/OclVendor.h"
 #include "base/tools/String.h"
 
+#include <algorithm>
+#include <vector>
+
 
 using cl_device_id      = struct _cl_device_id *;
 using cl_platform_id    = struct _cl_platform_id *;
@@ -62,9 +62,6 @@ public:
     OclDevice() = delete;
     OclDevice(uint32_t index, cl_device_id id, cl_platform_id platform);
 
-    size_t freeMemSize() const;
-    size_t globalMemSize() const;
-    size_t maxMemAllocSize() const;
     String printableName() const;
     uint32_t clock() const;
     void generate(const Algorithm &algorithm, OclThreads &threads) const;
@@ -78,6 +75,9 @@ public:
     inline OclVendor vendorId() const           { return m_vendorId; }
     inline Type type() const                    { return m_type; }
     inline uint32_t computeUnits() const        { return m_computeUnits; }
+    inline size_t freeMemSize() const           { return std::min(maxMemAllocSize(), globalMemSize()); }
+    inline size_t globalMemSize() const         { return m_globalMemory; }
+    inline size_t maxMemAllocSize() const       { return m_maxMemoryAlloc; }
     inline uint32_t index() const               { return m_index; }
 
 #   ifdef XMRIG_FEATURE_API
@@ -90,6 +90,8 @@ private:
     const String m_board;
     const String m_name;
     const String m_vendor;
+    const size_t m_maxMemoryAlloc   = 0;
+    const size_t m_globalMemory     = 0;
     const uint32_t m_computeUnits   = 1;
     const uint32_t m_index          = 0;
     OclVendor m_vendorId            = OCL_VENDOR_UNKNOWN;

src/backend/opencl/wrappers/OclLib.cpp

@@ -77,6 +77,7 @@ static const char *kRetainMemObject                  = "clRetainMemObject";
 static const char *kRetainProgram                    = "clRetainProgram";
 static const char *kSetKernelArg                     = "clSetKernelArg";
 static const char *kSetMemObjectDestructorCallback   = "clSetMemObjectDestructorCallback";
+static const char *kSymbolNotFound                   = "symbol not found";
 static const char *kUnloadPlatformCompiler           = "clUnloadPlatformCompiler";
 
 
@@ -156,7 +157,7 @@ static setKernelArg_t pSetKernelArg                                         = nu
 static setMemObjectDestructorCallback_t pSetMemObjectDestructorCallback     = nullptr;
 static unloadPlatformCompiler_t pUnloadPlatformCompiler                     = nullptr;
 
-#define DLSYM(x) if (uv_dlsym(&oclLib, k##x, reinterpret_cast<void**>(&p##x)) == -1) { return false; }
+#define DLSYM(x) if (uv_dlsym(&oclLib, k##x, reinterpret_cast<void**>(&p##x)) == -1) { throw std::runtime_error(kSymbolNotFound); }
 
 
 namespace xmrig {
@@ -210,39 +211,43 @@ void xmrig::OclLib::close()
 
 bool xmrig::OclLib::load()
 {
-    DLSYM(CreateCommandQueue);
-    DLSYM(CreateContext);
-    DLSYM(BuildProgram);
-    DLSYM(EnqueueNDRangeKernel);
-    DLSYM(EnqueueReadBuffer);
-    DLSYM(EnqueueWriteBuffer);
-    DLSYM(Finish);
-    DLSYM(GetDeviceIDs);
-    DLSYM(GetDeviceInfo);
-    DLSYM(GetPlatformInfo);
-    DLSYM(GetPlatformIDs);
-    DLSYM(GetProgramBuildInfo);
-    DLSYM(GetProgramInfo);
-    DLSYM(SetKernelArg);
-    DLSYM(CreateKernel);
-    DLSYM(CreateBuffer);
-    DLSYM(CreateProgramWithBinary);
-    DLSYM(CreateProgramWithSource);
-    DLSYM(ReleaseMemObject);
-    DLSYM(ReleaseProgram);
-    DLSYM(ReleaseKernel);
-    DLSYM(ReleaseCommandQueue);
-    DLSYM(ReleaseContext);
-    DLSYM(GetKernelInfo);
-    DLSYM(GetCommandQueueInfo);
-    DLSYM(GetMemObjectInfo);
-    DLSYM(GetContextInfo);
-    DLSYM(ReleaseDevice);
-    DLSYM(UnloadPlatformCompiler);
-    DLSYM(SetMemObjectDestructorCallback);
-    DLSYM(CreateSubBuffer);
-    DLSYM(RetainProgram);
-    DLSYM(RetainMemObject);
+    try {
+        DLSYM(CreateCommandQueue);
+        DLSYM(CreateContext);
+        DLSYM(BuildProgram);
+        DLSYM(EnqueueNDRangeKernel);
+        DLSYM(EnqueueReadBuffer);
+        DLSYM(EnqueueWriteBuffer);
+        DLSYM(Finish);
+        DLSYM(GetDeviceIDs);
+        DLSYM(GetDeviceInfo);
+        DLSYM(GetPlatformInfo);
+        DLSYM(GetPlatformIDs);
+        DLSYM(GetProgramBuildInfo);
+        DLSYM(GetProgramInfo);
+        DLSYM(SetKernelArg);
+        DLSYM(CreateKernel);
+        DLSYM(CreateBuffer);
+        DLSYM(CreateProgramWithBinary);
+        DLSYM(CreateProgramWithSource);
+        DLSYM(ReleaseMemObject);
+        DLSYM(ReleaseProgram);
+        DLSYM(ReleaseKernel);
+        DLSYM(ReleaseCommandQueue);
+        DLSYM(ReleaseContext);
+        DLSYM(GetKernelInfo);
+        DLSYM(GetCommandQueueInfo);
+        DLSYM(GetMemObjectInfo);
+        DLSYM(GetContextInfo);
+        DLSYM(ReleaseDevice);
+        DLSYM(UnloadPlatformCompiler);
+        DLSYM(SetMemObjectDestructorCallback);
+        DLSYM(CreateSubBuffer);
+        DLSYM(RetainProgram);
+        DLSYM(RetainMemObject);
+    } catch (std::exception &ex) {
+        return false;
+    }
 
 #   if defined(CL_VERSION_2_0)
     uv_dlsym(&oclLib, kCreateCommandQueueWithProperties, reinterpret_cast<void**>(&pCreateCommandQueueWithProperties));

src/base/api/Api.cpp

@@ -49,12 +49,48 @@
 #endif
 
 
+#include <thread>
+
+
+namespace xmrig {
+
+
+static rapidjson::Value getResources(rapidjson::Document &doc)
+{
+    using namespace rapidjson;
+    auto &allocator = doc.GetAllocator();
+
+    size_t rss = 0;
+    uv_resident_set_memory(&rss);
+
+    Value out(kObjectType);
+    Value memory(kObjectType);
+    Value load_average(kArrayType);
+
+    memory.AddMember("free",                uv_get_free_memory(), allocator);
+    memory.AddMember("total",               uv_get_total_memory(), allocator);
+    memory.AddMember("resident_set_memory", static_cast<uint64_t>(rss), allocator);
+
+    double loadavg[3] = { 0.0 };
+    uv_loadavg(loadavg);
+    load_average.PushBack(loadavg[0], allocator);
+    load_average.PushBack(loadavg[1], allocator);
+    load_average.PushBack(loadavg[2], allocator);
+
+    out.AddMember("memory",               memory, allocator);
+    out.AddMember("load_average",         load_average, allocator);
+    out.AddMember("hardware_concurrency", std::thread::hardware_concurrency(), allocator);
+
+    return out;
+}
+
+
+} // namespace xmrig
+
+
 xmrig::Api::Api(Base *base) :
     m_base(base),
-    m_id(),
-    m_workerId(),
-    m_timestamp(Chrono::currentMSecsSinceEpoch()),
-    m_httpd(nullptr)
+    m_timestamp(Chrono::currentMSecsSinceEpoch())
 {
     base->addListener(this);
 
@@ -117,10 +153,13 @@ void xmrig::Api::exec(IApiRequest &request)
         auto &allocator = request.doc().GetAllocator();
 
         request.accept();
-        request.reply().AddMember("id",         StringRef(m_id),       allocator);
-        request.reply().AddMember("worker_id",  StringRef(m_workerId), allocator);
-        request.reply().AddMember("uptime",     (Chrono::currentMSecsSinceEpoch() - m_timestamp) / 1000, allocator);
-        request.reply().AddMember("restricted", request.isRestricted(), allocator);
+
+        auto &reply = request.reply();
+        reply.AddMember("id",         StringRef(m_id),       allocator);
+        reply.AddMember("worker_id",  StringRef(m_workerId), allocator);
+        reply.AddMember("uptime",     (Chrono::currentMSecsSinceEpoch() - m_timestamp) / 1000, allocator);
+        reply.AddMember("restricted", request.isRestricted(), allocator);
+        reply.AddMember("resources",  getResources(request.doc()), allocator);
 
         Value features(kArrayType);
 #       ifdef XMRIG_FEATURE_API
@@ -144,7 +183,7 @@ void xmrig::Api::exec(IApiRequest &request)
 #       ifdef XMRIG_FEATURE_OPENCL
         features.PushBack("opencl", allocator);
 #       endif
-        request.reply().AddMember("features", features, allocator);
+        reply.AddMember("features", features, allocator);
     }
 
     for (IApiListener *listener : m_listeners) {
@@ -179,13 +218,13 @@ void xmrig::Api::genId(const String &id)
         if (!interfaces[i].is_internal && interfaces[i].address.address4.sin_family == AF_INET) {
             uint8_t hash[200];
             const size_t addrSize = sizeof(interfaces[i].phys_addr);
-            const size_t inSize   = strlen(APP_KIND) + addrSize + sizeof(uint16_t);
-            const uint16_t port   = static_cast<uint16_t>(m_base->config()->http().port());
+            const size_t inSize   = (sizeof(APP_KIND) - 1) + addrSize + sizeof(uint16_t);
+            const auto port       = static_cast<uint16_t>(m_base->config()->http().port());
 
-            uint8_t *input = new uint8_t[inSize]();
+            auto*input = new uint8_t[inSize]();
             memcpy(input, &port, sizeof(uint16_t));
             memcpy(input + sizeof(uint16_t), interfaces[i].phys_addr, addrSize);
-            memcpy(input + sizeof(uint16_t) + addrSize, APP_KIND, strlen(APP_KIND));
+            memcpy(input + sizeof(uint16_t) + addrSize, APP_KIND, (sizeof(APP_KIND) - 1));
 
             keccak(input, inSize, hash);
             Buffer::toHex(hash, 8, m_id);

src/base/api/Api.h

@@ -70,10 +70,10 @@ private:
     void genWorkerId(const String &id);
 
     Base *m_base;
-    char m_id[32];
-    char m_workerId[128];
+    char m_id[32]{};
+    char m_workerId[128]{};
     const uint64_t m_timestamp;
-    Httpd *m_httpd;
+    Httpd *m_httpd = nullptr;
     std::vector<IApiListener *> m_listeners;
 };
 

src/base/api/Httpd.cpp

@@ -23,9 +23,9 @@
  */
 
 
+#include "base/api/Httpd.h"
 #include "3rdparty/http-parser/http_parser.h"
 #include "base/api/Api.h"
-#include "base/api/Httpd.h"
 #include "base/io/log/Log.h"
 #include "base/net/http/HttpApiResponse.h"
 #include "base/net/http/HttpData.h"
@@ -58,9 +58,7 @@ xmrig::Httpd::Httpd(Base *base) :
 }
 
 
-xmrig::Httpd::~Httpd()
-{
-}
+xmrig::Httpd::~Httpd() = default;
 
 
 bool xmrig::Httpd::start()

src/base/api/Httpd.h

@@ -26,11 +26,12 @@
 #define XMRIG_HTTPD_H
 
 
-#include <stdint.h>
+#include <cstdint>
 
 
 #include "base/kernel/interfaces/IBaseListener.h"
 #include "base/kernel/interfaces/IHttpListener.h"
+#include "base/tools/Object.h"
 
 
 namespace xmrig {
@@ -44,6 +45,8 @@ class TcpServer;
 class Httpd : public IBaseListener, public IHttpListener
 {
 public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(Httpd)
+
     Httpd(Base *base);
     ~Httpd() override;
 

src/base/api/requests/ApiRequest.cpp

@@ -33,6 +33,4 @@ xmrig::ApiRequest::ApiRequest(Source source, bool restricted) :
 }
 
 
-xmrig::ApiRequest::~ApiRequest()
-{
-}
+xmrig::ApiRequest::~ApiRequest() = default;

src/base/api/requests/ApiRequest.h

@@ -29,6 +29,7 @@
 
 #include "base/api/interfaces/IApiRequest.h"
 #include "base/tools/String.h"
+#include "base/tools/Object.h"
 
 
 namespace xmrig {
@@ -37,6 +38,8 @@ namespace xmrig {
 class ApiRequest : public IApiRequest
 {
 public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(ApiRequest)
+
     ApiRequest(Source source, bool restricted);
     ~ApiRequest() override;
 
@@ -63,8 +66,8 @@ protected:
     String m_rpcMethod;
 
 private:
-    bool m_restricted;
-    Source m_source;
+    const bool m_restricted;
+    const Source m_source;
 };
 
 

src/base/base.cmake

@@ -41,6 +41,7 @@ set(HEADERS_BASE
     src/base/net/stratum/strategies/FailoverStrategy.h
     src/base/net/stratum/strategies/SinglePoolStrategy.h
     src/base/net/stratum/SubmitResult.h
+    src/base/net/stratum/Url.h
     src/base/net/tools/RecvBuf.h
     src/base/net/tools/Storage.h
     src/base/tools/Arguments.h
@@ -78,6 +79,7 @@ set(SOURCES_BASE
     src/base/net/stratum/Pools.cpp
     src/base/net/stratum/strategies/FailoverStrategy.cpp
     src/base/net/stratum/strategies/SinglePoolStrategy.cpp
+    src/base/net/stratum/Url.cpp
     src/base/tools/Arguments.cpp
     src/base/tools/Buffer.cpp
     src/base/tools/String.cpp
@@ -137,6 +139,7 @@ if (WITH_HTTP)
         src/base/net/http/HttpResponse.h
         src/base/net/http/HttpServer.h
         src/base/net/stratum/DaemonClient.h
+        src/base/net/stratum/SelfSelectClient.h
         src/base/net/tools/TcpServer.h
         )
 
@@ -152,6 +155,7 @@ if (WITH_HTTP)
         src/base/net/http/HttpResponse.cpp
         src/base/net/http/HttpServer.cpp
         src/base/net/stratum/DaemonClient.cpp
+        src/base/net/stratum/SelfSelectClient.cpp
         src/base/net/tools/TcpServer.cpp
         )
 

src/base/io/json/Json.cpp

@@ -50,7 +50,7 @@ bool xmrig::Json::getBool(const rapidjson::Value &obj, const char *key, bool def
 }
 
 
-const char *xmrig::Json::getString(const rapidjson::Value &obj, const char *key,  const char *defaultValue)
+const char *xmrig::Json::getString(const rapidjson::Value &obj, const char *key, const char *defaultValue)
 {
     assert(obj.IsObject());
 

src/base/io/log/Log.h

@@ -82,6 +82,7 @@ private:
 #define WHITE_S             CSI "0;37m" // another name for LT.GRAY
 #define WHITE_BOLD_S        CSI "1;37m" // actually white
 
+#define GREEN_BG_BOLD_S     CSI "42;1m"
 #define BLUE_BG_S           CSI "44m"
 #define BLUE_BG_BOLD_S      CSI "44;1m"
 #define MAGENTA_BG_S        CSI "45m"
@@ -107,6 +108,7 @@ private:
 #define WHITE(x)            WHITE_S x CLEAR
 #define WHITE_BOLD(x)       WHITE_BOLD_S x CLEAR
 
+#define GREEN_BG_BOLD(x)    GREEN_BG_BOLD_S x CLEAR
 #define BLUE_BG(x)          BLUE_BG_S x CLEAR
 #define BLUE_BG_BOLD(x)     BLUE_BG_BOLD_S x CLEAR
 #define MAGENTA_BG(x)       MAGENTA_BG_S x CLEAR

src/base/io/log/backends/ConsoleLog.cpp

@@ -49,6 +49,8 @@ xmrig::ConsoleLog::ConsoleLog()
     uv_tty_set_mode(m_tty, UV_TTY_MODE_NORMAL);
 
 #   ifdef WIN32
+    m_stream = reinterpret_cast<uv_stream_t*>(m_tty);
+
     HANDLE handle = GetStdHandle(STD_INPUT_HANDLE);
     if (handle != INVALID_HANDLE_VALUE) {
         DWORD mode = 0;
@@ -67,14 +69,26 @@ xmrig::ConsoleLog::~ConsoleLog()
 }
 
 
-void xmrig::ConsoleLog::print(int, const char *line, size_t, size_t, bool colors)
+void xmrig::ConsoleLog::print(int, const char *line, size_t, size_t size, bool colors)
 {
     if (!m_tty || Log::colors != colors) {
         return;
     }
 
+#   ifdef _WIN32
+    uv_buf_t buf = uv_buf_init(const_cast<char *>(line), static_cast<unsigned int>(size));
+
+    if (!isWritable()) {
+        fputs(line, stdout);
+        fflush(stdout);
+    }
+    else {
+        uv_try_write(m_stream, &buf, 1);
+    }
+#   else
     fputs(line, stdout);
     fflush(stdout);
+#   endif
 }
 
 
@@ -83,3 +97,15 @@ bool xmrig::ConsoleLog::isSupported() const
     const uv_handle_type type = uv_guess_handle(1);
     return type == UV_TTY || type == UV_NAMED_PIPE;
 }
+
+
+#ifdef WIN32
+bool xmrig::ConsoleLog::isWritable() const
+{
+    if (!m_stream || uv_is_writable(m_stream) != 1) {
+        return false;
+    }
+
+    return isSupported();
+}
+#endif

src/base/io/log/backends/ConsoleLog.h

@@ -53,6 +53,12 @@ private:
     bool isSupported() const;
 
     uv_tty_t *m_tty = nullptr;
+
+#   ifdef _WIN32
+    bool isWritable() const;
+
+    uv_stream_t *m_stream = nullptr;
+#   endif
 };
 
 

src/base/kernel/config/BaseConfig.cpp

@@ -63,11 +63,6 @@
 #include "version.h"
 
 
-xmrig::BaseConfig::BaseConfig()
-{
-}
-
-
 void xmrig::BaseConfig::printVersions()
 {
     char buf[256] = { 0 };

src/base/kernel/config/BaseConfig.h

@@ -31,9 +31,6 @@
 #include "base/net/stratum/Pools.h"
 
 
-struct option;
-
-
 namespace xmrig {
 
 
@@ -43,7 +40,7 @@ class IJsonReader;
 class BaseConfig : public IConfig
 {
 public:
-    BaseConfig();
+    BaseConfig() = default;
 
     inline bool isAutoSave() const                 { return m_autoSave; }
     inline bool isBackground() const               { return m_background; }

src/base/kernel/config/BaseTransform.cpp

@@ -183,6 +183,9 @@ void xmrig::BaseTransform::transform(rapidjson::Document &doc, int key, const ch
     case IConfig::FingerprintKey: /* --tls-fingerprint */
         return add(doc, kPools, "tls-fingerprint", arg);
 
+    case IConfig::SelfSelectKey: /* --self-select */
+        return add(doc, kPools, "self-select", arg);
+
     case IConfig::LogFileKey: /* --log-file */
         return set(doc, "log-file", arg);
 

src/base/kernel/interfaces/IClient.h

@@ -26,7 +26,10 @@
 #define XMRIG_ICLIENT_H
 
 
-#include <stdint.h>
+#include "rapidjson/fwd.h"
+
+
+#include <functional>
 
 
 namespace xmrig {
@@ -51,31 +54,35 @@ public:
         EXT_MAX
     };
 
+    using Callback = std::function<void(const rapidjson::Value &result, bool success, uint64_t elapsed)>;
+
     virtual ~IClient() = default;
 
-    virtual bool disconnect()                                      = 0;
-    virtual bool hasExtension(Extension extension) const noexcept  = 0;
-    virtual bool isEnabled() const                                 = 0;
-    virtual bool isTLS() const                                     = 0;
-    virtual const char *mode() const                               = 0;
-    virtual const char *tlsFingerprint() const                     = 0;
-    virtual const char *tlsVersion() const                         = 0;
-    virtual const Job &job() const                                 = 0;
-    virtual const Pool &pool() const                               = 0;
-    virtual const String &ip() const                               = 0;
-    virtual int id() const                                         = 0;
-    virtual int64_t submit(const JobResult &result)                = 0;
-    virtual void connect()                                         = 0;
-    virtual void connect(const Pool &pool)                         = 0;
-    virtual void deleteLater()                                     = 0;
-    virtual void setAlgo(const Algorithm &algo)                    = 0;
-    virtual void setEnabled(bool enabled)                          = 0;
-    virtual void setPool(const Pool &pool)                         = 0;
-    virtual void setQuiet(bool quiet)                              = 0;
-    virtual void setRetries(int retries)                           = 0;
-    virtual void setRetryPause(uint64_t ms)                        = 0;
-    virtual void tick(uint64_t now)                                = 0;
-
+    virtual bool disconnect()                                               = 0;
+    virtual bool hasExtension(Extension extension) const noexcept           = 0;
+    virtual bool isEnabled() const                                          = 0;
+    virtual bool isTLS() const                                              = 0;
+    virtual const char *mode() const                                        = 0;
+    virtual const char *tlsFingerprint() const                              = 0;
+    virtual const char *tlsVersion() const                                  = 0;
+    virtual const Job &job() const                                          = 0;
+    virtual const Pool &pool() const                                        = 0;
+    virtual const String &ip() const                                        = 0;
+    virtual int id() const                                                  = 0;
+    virtual int64_t send(const rapidjson::Value &obj, Callback callback)    = 0;
+    virtual int64_t send(const rapidjson::Value &obj)                       = 0;
+    virtual int64_t sequence() const                                        = 0;
+    virtual int64_t submit(const JobResult &result)                         = 0;
+    virtual void connect()                                                  = 0;
+    virtual void connect(const Pool &pool)                                  = 0;
+    virtual void deleteLater()                                              = 0;
+    virtual void setAlgo(const Algorithm &algo)                             = 0;
+    virtual void setEnabled(bool enabled)                                   = 0;
+    virtual void setPool(const Pool &pool)                                  = 0;
+    virtual void setQuiet(bool quiet)                                       = 0;
+    virtual void setRetries(int retries)                                    = 0;
+    virtual void setRetryPause(uint64_t ms)                                 = 0;
+    virtual void tick(uint64_t now)                                         = 0;
 };
 
 

src/base/kernel/interfaces/IClientListener.h

@@ -26,7 +26,7 @@
 #define XMRIG_ICLIENTLISTENER_H
 
 
-#include <stdint.h>
+#include <cstdint>
 
 
 #include "rapidjson/fwd.h"

src/base/kernel/interfaces/IConfig.h

@@ -72,6 +72,7 @@ public:
         ProxyDonateKey       = 1017,
         DaemonKey            = 1018,
         DaemonPollKey        = 1019,
+        SelfSelectKey        = 1028,
 
         // xmrig common
         CPUPriorityKey       = 1021,
@@ -88,6 +89,7 @@ public:
         AssemblyKey          = 1015,
         RandomXInitKey       = 1022,
         RandomXNumaKey       = 1023,
+        RandomXModeKey       = 1029,
         CPUMaxThreadsKey     = 1026,
         MemoryPoolKey        = 1027,
 
@@ -124,6 +126,7 @@ public:
         TlsProtocolsKey      = 1114,
         AlgoExtKey           = 1115,
         ProxyPasswordKey     = 1116,
+        LoginFileKey         = 'L',
 
         // xmrig nvidia
         CudaMaxThreadsKey    = 1200,
@@ -133,6 +136,10 @@ public:
         CudaLaunchKey        = 1204,
         CudaAffinityKey      = 1205,
         CudaMaxUsageKey      = 1206,
+        CudaKey              = 1207,
+        CudaLoaderKey        = 1208,
+        NvmlKey              = 1209,
+        HealthPrintTimeKey   = 1210,
     };
 
     virtual ~IConfig() = default;

src/base/kernel/interfaces/IStrategy.h

@@ -26,7 +26,7 @@
 #define XMRIG_ISTRATEGY_H
 
 
-#include <stdint.h>
+#include <cstdint>
 
 
 namespace xmrig {

src/base/net/http/Http.cpp

@@ -23,9 +23,9 @@
  */
 
 
+#include "base/net/http/Http.h"
 #include "3rdparty/rapidjson/document.h"
 #include "base/io/json/Json.h"
-#include "base/net/http/Http.h"
 
 
 namespace xmrig {
@@ -41,10 +41,7 @@ static const char *kToken      = "access-token";
 
 
 xmrig::Http::Http() :
-    m_enabled(false),
-    m_restricted(true),
-    m_host(kLocalhost),
-    m_port(0)
+    m_host(kLocalhost)
 {
 }
 

src/base/net/http/Http.h

@@ -38,7 +38,7 @@ class Http
 public:
     Http();
 
-    inline bool isAuthRequired() const         { return m_restricted == false || !m_token.isNull(); }
+    inline bool isAuthRequired() const         { return !m_restricted || !m_token.isNull(); }
     inline bool isEnabled() const              { return m_enabled; }
     inline bool isRestricted() const           { return m_restricted; }
     inline const String &host() const          { return m_host; }
@@ -58,11 +58,11 @@ public:
     void setPort(int port);
 
 private:
-    bool m_enabled;
-    bool m_restricted;
+    bool m_enabled      = false;
+    bool m_restricted   = true;
     String m_host;
     String m_token;
-    uint16_t m_port;
+    uint16_t m_port     = 0;
 };
 
 

src/base/net/http/HttpClient.cpp

@@ -66,7 +66,7 @@ public:
     inline static void onWrite(uv_write_t *req, int) { delete reinterpret_cast<ClientWriteBaton *>(req->data); }
 
 
-    uv_buf_t bufs[2];
+    uv_buf_t bufs[2]{};
 
 private:
     std::string m_body;
@@ -78,9 +78,7 @@ private:
 
 
 xmrig::HttpClient::HttpClient(int method, const String &url, IHttpListener *listener, const char *data, size_t size) :
-    HttpContext(HTTP_RESPONSE, listener),
-    m_quiet(false),
-    m_port(0)
+    HttpContext(HTTP_RESPONSE, listener)
 {
     this->method = method;
     this->url    = url;
@@ -127,7 +125,7 @@ void xmrig::HttpClient::onResolved(const Dns &dns, int status)
 
     sockaddr *addr = dns.get().addr(m_port);
 
-    uv_connect_t *req = new uv_connect_t;
+    auto req  = new uv_connect_t;
     req->data = this;
 
     uv_tcp_connect(req, m_tcp, addr, onConnect);
@@ -140,7 +138,7 @@ void xmrig::HttpClient::handshake()
     headers.insert({ "Connection", "close" });
     headers.insert({ "User-Agent", Platform::userAgent() });
 
-    if (body.size()) {
+    if (!body.empty()) {
         headers.insert({ "Content-Length", std::to_string(body.size()) });
     }
 
@@ -169,14 +167,14 @@ void xmrig::HttpClient::read(const char *data, size_t size)
 
 void xmrig::HttpClient::write(const std::string &header)
 {
-    ClientWriteBaton *baton = new ClientWriteBaton(header, std::move(body));
+    auto baton = new ClientWriteBaton(header, std::move(body));
     uv_write(&baton->req, stream(), baton->bufs, baton->count(), ClientWriteBaton::onWrite);
 }
 
 
 void xmrig::HttpClient::onConnect(uv_connect_t *req, int status)
 {
-    HttpClient *client = static_cast<HttpClient *>(req->data);
+    auto client = static_cast<HttpClient *>(req->data);
     if (!client) {
         delete req;
         return;
@@ -205,7 +203,7 @@ void xmrig::HttpClient::onConnect(uv_connect_t *req, int status)
         },
         [](uv_stream_t *tcp, ssize_t nread, const uv_buf_t *buf)
         {
-            HttpClient *client = static_cast<HttpClient*>(tcp->data);
+            auto client = static_cast<HttpClient*>(tcp->data);
 
             if (nread >= 0) {
                 client->read(buf->base, static_cast<size_t>(nread));

src/base/net/http/HttpClient.h

@@ -30,6 +30,7 @@
 
 #include "base/net/http/HttpContext.h"
 #include "base/kernel/interfaces/IDnsListener.h"
+#include "base/tools/Object.h"
 
 
 namespace xmrig {
@@ -41,6 +42,8 @@ class String;
 class HttpClient : public HttpContext, public IDnsListener
 {
 public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(HttpClient);
+
     HttpClient(int method, const String &url, IHttpListener *listener, const char *data = nullptr, size_t size = 0);
     ~HttpClient() override;
 
@@ -57,13 +60,13 @@ protected:
     virtual void read(const char *data, size_t size);
     virtual void write(const std::string &header);
 
-    bool m_quiet;
+    bool m_quiet = false;
 
 private:
     static void onConnect(uv_connect_t *req, int status);
 
     Dns *m_dns;
-    uint16_t m_port;
+    uint16_t m_port = 0;
 };
 
 

src/base/net/http/HttpContext.cpp

@@ -24,27 +24,30 @@
  */
 
 
+#include "base/net/http/HttpContext.h"
+#include "3rdparty/http-parser/http_parser.h"
+#include "base/kernel/interfaces/IHttpListener.h"
+#include "base/tools/Chrono.h"
+
+
 #include <algorithm>
 #include <uv.h>
 
 
-#include "3rdparty/http-parser/http_parser.h"
-#include "base/kernel/interfaces/IHttpListener.h"
-#include "base/net/http/HttpContext.h"
-
-
 namespace xmrig {
 
+
 static http_parser_settings http_settings;
 static std::map<uint64_t, HttpContext *> storage;
 static uint64_t SEQUENCE = 0;
 
+
 } // namespace xmrig
 
 
 xmrig::HttpContext::HttpContext(int parser_type, IHttpListener *listener) :
     HttpData(SEQUENCE++),
-    m_wasHeaderValue(false),
+    m_timestamp(Chrono::steadyMSecs()),
     m_listener(listener)
 {
     storage[id()] = this;
@@ -96,6 +99,12 @@ std::string xmrig::HttpContext::ip() const
 }
 
 
+uint64_t xmrig::HttpContext::elapsed() const
+{
+    return Chrono::steadyMSecs() - m_timestamp;
+}
+
+
 void xmrig::HttpContext::close(int status)
 {
     if (status < 0 && m_listener) {
@@ -136,7 +145,7 @@ void xmrig::HttpContext::closeAll()
 
 int xmrig::HttpContext::onHeaderField(http_parser *parser, const char *at, size_t length)
 {
-    HttpContext *ctx = static_cast<HttpContext*>(parser->data);
+    auto ctx = static_cast<HttpContext*>(parser->data);
 
     if (ctx->m_wasHeaderValue) {
         if (!ctx->m_lastHeaderField.empty()) {
@@ -155,7 +164,7 @@ int xmrig::HttpContext::onHeaderField(http_parser *parser, const char *at, size_
 
 int xmrig::HttpContext::onHeaderValue(http_parser *parser, const char *at, size_t length)
 {
-    HttpContext *ctx = static_cast<HttpContext*>(parser->data);
+    auto ctx = static_cast<HttpContext*>(parser->data);
 
     if (!ctx->m_wasHeaderValue) {
         ctx->m_lastHeaderValue = std::string(at, length);
@@ -185,7 +194,7 @@ void xmrig::HttpContext::attach(http_parser_settings *settings)
     settings->on_header_value = onHeaderValue;
 
     settings->on_headers_complete = [](http_parser* parser) -> int {
-        HttpContext *ctx = static_cast<HttpContext*>(parser->data);
+        auto ctx = static_cast<HttpContext*>(parser->data);
         ctx->status = parser->status_code;
 
         if (parser->type == HTTP_REQUEST) {
@@ -208,7 +217,7 @@ void xmrig::HttpContext::attach(http_parser_settings *settings)
 
     settings->on_message_complete = [](http_parser *parser) -> int
     {
-        HttpContext *ctx = static_cast<HttpContext*>(parser->data);
+        auto ctx = static_cast<HttpContext*>(parser->data);
         ctx->m_listener->onHttpData(*ctx);
         ctx->m_listener = nullptr;
 

src/base/net/http/HttpContext.h

@@ -28,15 +28,16 @@
 #define XMRIG_HTTPCONTEXT_H
 
 
-typedef struct http_parser http_parser;
-typedef struct http_parser_settings http_parser_settings;
-typedef struct uv_connect_s uv_connect_t;
-typedef struct uv_handle_s uv_handle_t;
-typedef struct uv_stream_s uv_stream_t;
-typedef struct uv_tcp_s uv_tcp_t;
+using http_parser           = struct http_parser;
+using http_parser_settings  = struct http_parser_settings;
+using uv_connect_t          = struct uv_connect_s;
+using uv_handle_t           = struct uv_handle_s;
+using uv_stream_t           = struct uv_stream_s;
+using uv_tcp_t              = struct uv_tcp_s;
 
 
 #include "base/net/http/HttpData.h"
+#include "base/tools/Object.h"
 
 
 namespace xmrig {
@@ -48,6 +49,8 @@ class IHttpListener;
 class HttpContext : public HttpData
 {
 public:
+    XMRIG_DISABLE_COPY_MOVE_DEFAULT(HttpContext)
+
     HttpContext(int parser_type, IHttpListener *listener);
     virtual ~HttpContext();
 
@@ -56,6 +59,7 @@ public:
 
     size_t parse(const char *data, size_t size);
     std::string ip() const;
+    uint64_t elapsed() const;
     void close(int status = 0);
 
     static HttpContext *get(uint64_t id);
@@ -71,7 +75,8 @@ private:
 
     void setHeader();
 
-    bool m_wasHeaderValue;
+    bool m_wasHeaderValue           = false;
+    const uint64_t m_timestamp;
     http_parser *m_parser;
     IHttpListener *m_listener;
     std::string m_lastHeaderField;