Added CudaWorker and CudaLaunchData.

This commit is contained in:
XMRig 2019-10-26 17:37:54 +07:00
parent d4a3024996
commit bb2cc0deb7
14 changed files with 567 additions and 28 deletions

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/* 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 "base/io/log/Log.h"
#include "base/tools/Chrono.h"
#include "core/Miner.h"
#include "crypto/common/Nonce.h"
#include "net/JobResults.h"
#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; }
static inline void printError(size_t id, const char *error)
{
LOG_ERR("%s" RED_S " thread " RED_BOLD("#%zu") RED_S " failed with error " RED_BOLD("%s"), cuda_tag(), id, error);
}
} // 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),
m_intensity(data.thread.threads() * data.thread.blocks())
{
}
xmrig::CudaWorker::~CudaWorker()
{
// delete m_runner;
}
bool xmrig::CudaWorker::selfTest()
{
return false; // FIXME
}
size_t xmrig::CudaWorker::intensity() const
{
return 0; // FIXME;
// 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())) {
// try {
// m_runner->run(*m_job.nonce(), results);
// }
// catch (std::exception &ex) {
// printError(id(), ex.what());
// return;
// }
// if (results[0xFF] > 0) {
// JobResults::submit(m_job.currentJob(), results, results[0xFF]);
// }
m_job.nextRound(roundSize(m_intensity), m_intensity);
storeStats();
std::this_thread::yield();
}
if (!consumeJob()) {
return;
}
}
}
bool xmrig::CudaWorker::consumeJob()
{
if (Nonce::sequence(Nonce::CUDA) == 0) {
return false;
}
m_job.add(m_miner->job(), Nonce::sequence(Nonce::CUDA), roundSize(m_intensity) * m_intensity);
// try {
// m_runner->set(m_job.currentJob(), m_job.blob());
// }
// catch (std::exception &ex) {
// printError(id(), ex.what());
// return false;
// }
return true;
}
void xmrig::CudaWorker::storeStats()
{
if (!isReady()) {
return;
}
m_count += m_intensity;
Worker::storeStats();
}