/* XMRig * Copyright 2010 Jeff Garzik * Copyright 2012-2014 pooler * Copyright 2014 Lucas Jones * Copyright 2014-2016 Wolf9466 * Copyright 2016 Jay D Dee * Copyright 2017-2018 XMR-Stak , * Copyright 2018-2020 SChernykh * Copyright 2016-2020 XMRig , * * 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 . */ #ifndef XMRIG_CUDAKAWPOWRUNNER_H #define XMRIG_CUDAKAWPOWRUNNER_H #include "backend/cuda/runners/CudaBaseRunner.h" namespace xmrig { class CudaKawPowRunner : public CudaBaseRunner { public: CudaKawPowRunner(size_t index, const CudaLaunchData &data); protected: bool run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce) override; bool set(const Job &job, uint8_t *blob) override; size_t processedHashes() const override { return intensity() - m_skippedHashes; } void jobEarlyNotification(const Job&) override; private: uint8_t* m_jobBlob = nullptr; uint32_t m_skippedHashes = 0; }; } /* namespace xmrig */ #endif // XMRIG_CUDAKAWPOWRUNNER_H