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50 lines
1.5 KiB
C++
50 lines
1.5 KiB
C++
/* XMRig
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* Copyright (c) 2018-2021 SChernykh <https://github.com/SChernykh>
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* Copyright (c) 2016-2021 XMRig <https://github.com/xmrig>, <support@xmrig.com>
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef XMRIG_CUDAKAWPOWRUNNER_H
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#define XMRIG_CUDAKAWPOWRUNNER_H
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#include "backend/cuda/runners/CudaBaseRunner.h"
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namespace xmrig {
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class CudaKawPowRunner : public CudaBaseRunner
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{
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public:
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CudaKawPowRunner(size_t index, const CudaLaunchData &data);
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protected:
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bool run(uint32_t startNonce, uint32_t *rescount, uint32_t *resnonce) override;
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bool set(const Job &job, uint8_t *blob) override;
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size_t processedHashes() const override { return intensity() - m_skippedHashes; }
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void jobEarlyNotification(const Job&) override;
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private:
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uint8_t* m_jobBlob = nullptr;
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uint32_t m_skippedHashes = 0;
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};
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} /* namespace xmrig */
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#endif // XMRIG_CUDAKAWPOWRUNNER_H
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