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Added GpuWorker class.

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XMRig 2020-12-04 22:25:28 +07:00
parent daf08fcf9a
commit bd82b3c852
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GPG key ID: 446A53638BE94409
15 changed files with 193 additions and 202 deletions
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27
src/backend/cpu/CpuWorker.cpp
View file

@ -1,13 +1,6 @@
/* 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 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright (c) 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright (c) 2016-2020 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
@ -80,7 +73,7 @@ xmrig::CpuWorker<N>::CpuWorker(size_t id, const CpuLaunchData &data) :
m_threads(data.threads),
m_ctx()
{
m_memory = new VirtualMemory(m_algorithm.l3() * N, data.hugePages, false, true, m_node);
m_memory = new VirtualMemory(m_algorithm.l3() * N, data.hugePages, false, true, node());
}
@ -100,7 +93,7 @@ xmrig::CpuWorker<N>::~CpuWorker()
template<size_t N>
void xmrig::CpuWorker<N>::allocateRandomX_VM()
{
RxDataset *dataset = Rx::dataset(m_job.currentJob(), m_node);
RxDataset *dataset = Rx::dataset(m_job.currentJob(), node());
while (dataset == nullptr) {
std::this_thread::sleep_for(std::chrono::milliseconds(200));
@ -109,13 +102,13 @@ void xmrig::CpuWorker<N>::allocateRandomX_VM()
return;
}
dataset = Rx::dataset(m_job.currentJob(), m_node);
dataset = Rx::dataset(m_job.currentJob(), node());
}
if (!m_vm) {
// Try to allocate scratchpad from dataset's 1 GB huge pages, if normal huge pages are not available
uint8_t* scratchpad = m_memory->isHugePages() ? m_memory->scratchpad() : dataset->tryAllocateScrathpad();
m_vm = RxVm::create(dataset, scratchpad ? scratchpad : m_memory->scratchpad(), !m_hwAES, m_assembly, m_node);
m_vm = RxVm::create(dataset, scratchpad ? scratchpad : m_memory->scratchpad(), !m_hwAES, m_assembly, node());
}
}
#endif
@ -189,6 +182,14 @@ bool xmrig::CpuWorker<N>::selfTest()
}
template<size_t N>
void xmrig::CpuWorker<N>::hashrateData(uint64_t &hashCount, uint64_t &, uint64_t &rawHashes) const
{
hashCount = m_count;
rawHashes = m_count;
}
template<size_t N>
void xmrig::CpuWorker<N>::start()
{

17
src/backend/cpu/CpuWorker.h
View file

@ -1,13 +1,6 @@
/* 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 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright (c) 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright (c) 2016-2020 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
@ -56,10 +49,12 @@ public:
protected:
bool selfTest() override;
void hashrateData(uint64_t &hashCount, uint64_t &timeStamp, uint64_t &rawHashes) const override;
void start() override;
inline const VirtualMemory *memory() const override { return m_memory; }
inline size_t intensity() const override { return N; }
inline const VirtualMemory *memory() const override { return m_memory; }
inline size_t intensity() const override { return N; }
inline void jobEarlyNotification(const Job&) override {}
private:
inline cn_hash_fun fn(const Algorithm &algorithm) const { return CnHash::fn(algorithm, m_av, m_assembly); }