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Implemented stable algorithm ids.

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XMRig 2021-08-11 03:46:34 +07:00
parent d0a632f557
commit e6332eff2b
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21 changed files with 6349 additions and 6480 deletions
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src/backend/opencl/runners/OclCnRunner.cpp
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@ -1,12 +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 2018-2020 SChernykh <https://github.com/SChernykh>
* Copyright 2016-2020 XMRig <https://github.com/xmrig>, <support@xmrig.com>
* Copyright (c) 2018-2021 SChernykh <https://github.com/SChernykh>
* Copyright (c) 2016-2021 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
@ -22,7 +16,6 @@
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "backend/opencl/runners/OclCnRunner.h"
#include "backend/opencl/kernels/Cn0Kernel.h"
#include "backend/opencl/kernels/Cn1Kernel.h"
@ -39,12 +32,12 @@
xmrig::OclCnRunner::OclCnRunner(size_t index, const OclLaunchData &data) : OclBaseRunner(index, data)
{
uint32_t stridedIndex = data.thread.stridedIndex();
Algorithm::Family f = m_algorithm.family();
const auto f = m_algorithm.family();
if (data.device.vendorId() == OCL_VENDOR_NVIDIA) {
stridedIndex = 0;
}
else if (stridedIndex == 1 && (f == Algorithm::CN_PICO || f == Algorithm::CN_FEMTO || (f == Algorithm::CN && CnAlgo<>::base(m_algorithm) == Algorithm::CN_2))) {
else if (stridedIndex == 1 && (f == Algorithm::CN_PICO || f == Algorithm::CN_FEMTO || (f == Algorithm::CN && m_algorithm.base() == Algorithm::CN_2))) {
stridedIndex = 2;
}
@ -52,10 +45,10 @@ xmrig::OclCnRunner::OclCnRunner(size_t index, const OclLaunchData &data) : OclBa
m_options += " -DMASK=" + std::to_string(CnAlgo<>::mask(m_algorithm)) + "U";
m_options += " -DWORKSIZE=" + std::to_string(data.thread.worksize()) + "U";
m_options += " -DSTRIDED_INDEX=" + std::to_string(stridedIndex) + "U";
m_options += " -DMEM_CHUNK_EXPONENT=" + std::to_string(1u << data.thread.memChunk()) + "U";
m_options += " -DMEM_CHUNK_EXPONENT=" + std::to_string(1U << data.thread.memChunk()) + "U";
m_options += " -DMEMORY=" + std::to_string(m_algorithm.l3()) + "LU";
m_options += " -DALGO=" + std::to_string(m_algorithm.id());
m_options += " -DALGO_BASE=" + std::to_string(CnAlgo<>::base(m_algorithm));
m_options += " -DALGO_BASE=" + std::to_string(m_algorithm.base());
m_options += " -DALGO_FAMILY=" + std::to_string(m_algorithm.family());
m_options += " -DCN_UNROLL=" + std::to_string(data.thread.unrollFactor());
}
@ -96,7 +89,7 @@ void xmrig::OclCnRunner::run(uint32_t nonce, uint32_t *hashOutput)
static const cl_uint zero = 0;
const size_t w_size = data().thread.worksize();
const size_t g_thd = ((m_intensity + w_size - 1u) / w_size) * w_size;
const size_t g_thd = ((m_intensity + w_size - 1U) / w_size) * w_size;
assert(g_thd % w_size == 0);