Added initial CUDA backend stub.
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18 changed files with 871 additions and 7 deletions
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src/backend/cuda/CudaBackend.cpp
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src/backend/cuda/CudaBackend.cpp
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/* XMRig
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* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
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* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
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* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
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* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
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* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
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* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
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* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
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* Copyright 2016-2019 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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#include <mutex>
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#include <string>
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#include "backend/cuda/CudaBackend.h"
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#include "backend/common/Hashrate.h"
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#include "backend/common/interfaces/IWorker.h"
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#include "backend/common/Tags.h"
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#include "backend/common/Workers.h"
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#include "base/io/log/Log.h"
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#include "base/net/stratum/Job.h"
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#include "base/tools/Chrono.h"
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#include "base/tools/String.h"
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#include "core/config/Config.h"
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#include "core/Controller.h"
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#include "rapidjson/document.h"
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#ifdef XMRIG_FEATURE_API
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# include "base/api/interfaces/IApiRequest.h"
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#endif
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namespace xmrig {
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extern template class Threads<OclThreads>;
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constexpr const size_t oneMiB = 1024u * 1024u;
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static const char *tag = MAGENTA_BG_BOLD(WHITE_BOLD_S " nv ");
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static const String kType = "cuda";
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static std::mutex mutex;
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class CudaBackendPrivate
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{
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public:
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inline CudaBackendPrivate(Controller *controller) :
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controller(controller)
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{
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}
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void init(const OclConfig &cl)
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{
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}
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inline void start(const Job &job)
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{
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}
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Algorithm algo;
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Controller *controller;
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String profileName;
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};
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} // namespace xmrig
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const char *xmrig::cuda_tag()
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{
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return tag;
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}
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xmrig::CudaBackend::CudaBackend(Controller *controller) :
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d_ptr(new CudaBackendPrivate(controller))
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{
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}
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xmrig::CudaBackend::~CudaBackend()
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{
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delete d_ptr;
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}
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bool xmrig::CudaBackend::isEnabled() const
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{
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return false;
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}
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bool xmrig::CudaBackend::isEnabled(const Algorithm &algorithm) const
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{
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return false;
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}
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const xmrig::Hashrate *xmrig::CudaBackend::hashrate() const
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{
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return nullptr;
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// return d_ptr->workers.hashrate();
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}
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const xmrig::String &xmrig::CudaBackend::profileName() const
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{
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return d_ptr->profileName;
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}
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const xmrig::String &xmrig::CudaBackend::type() const
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{
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return kType;
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}
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void xmrig::CudaBackend::prepare(const Job &)
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{
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}
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void xmrig::CudaBackend::printHashrate(bool details)
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{
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if (!details || !hashrate()) {
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return;
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}
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char num[8 * 3] = { 0 };
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Log::print(WHITE_BOLD_S "| CUDA # | AFFINITY | 10s H/s | 60s H/s | 15m H/s |");
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// size_t i = 0;
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// for (const OclLaunchData &data : d_ptr->threads) {
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// Log::print("| %8zu | %8" PRId64 " | %7s | %7s | %7s |" CYAN_BOLD(" #%u") YELLOW(" %s") " %s",
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// i,
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// data.affinity,
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// Hashrate::format(hashrate()->calc(i, Hashrate::ShortInterval), num, sizeof num / 3),
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// Hashrate::format(hashrate()->calc(i, Hashrate::MediumInterval), num + 8, sizeof num / 3),
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// Hashrate::format(hashrate()->calc(i, Hashrate::LargeInterval), num + 8 * 2, sizeof num / 3),
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// data.device.index(),
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// data.device.topology().toString().data(),
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// data.device.printableName().data()
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// );
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// i++;
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// }
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Log::print(WHITE_BOLD_S "| - | - | %7s | %7s | %7s |",
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Hashrate::format(hashrate()->calc(Hashrate::ShortInterval), num, sizeof num / 3),
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Hashrate::format(hashrate()->calc(Hashrate::MediumInterval), num + 8, sizeof num / 3),
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Hashrate::format(hashrate()->calc(Hashrate::LargeInterval), num + 8 * 2, sizeof num / 3)
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);
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}
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void xmrig::CudaBackend::setJob(const Job &job)
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{
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}
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void xmrig::CudaBackend::start(IWorker *worker, bool ready)
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{
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}
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void xmrig::CudaBackend::stop()
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{
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}
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void xmrig::CudaBackend::tick(uint64_t ticks)
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{
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}
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#ifdef XMRIG_FEATURE_API
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rapidjson::Value xmrig::CudaBackend::toJSON(rapidjson::Document &doc) const
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{
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using namespace rapidjson;
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auto &allocator = doc.GetAllocator();
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Value out(kObjectType);
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out.AddMember("type", type().toJSON(), allocator);
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out.AddMember("enabled", isEnabled(), allocator);
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out.AddMember("algo", d_ptr->algo.toJSON(), allocator);
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out.AddMember("profile", profileName().toJSON(), allocator);
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return out;
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}
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void xmrig::CudaBackend::handleRequest(IApiRequest &)
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{
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}
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#endif
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