83 lines
2.6 KiB
C++
83 lines
2.6 KiB
C++
/* 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) != 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;
|
|
}
|