489 lines
13 KiB
C++
489 lines
13 KiB
C++
/* XMRig
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* Copyright (c) 2018-2021 SChernykh <https://github.com/SChernykh>
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* Copyright (c) 2016-2021 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 "backend/cpu/CpuBackend.h"
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#include "3rdparty/rapidjson/document.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 "backend/cpu/Cpu.h"
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#include "base/io/log/Log.h"
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#include "base/io/log/Tags.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 "crypto/common/VirtualMemory.h"
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#include "crypto/rx/Rx.h"
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#include "crypto/rx/RxDataset.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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#ifdef XMRIG_ALGO_ARGON2
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# include "crypto/argon2/Impl.h"
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#endif
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#ifdef XMRIG_FEATURE_BENCHMARK
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# include "backend/common/benchmark/Benchmark.h"
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# include "backend/common/benchmark/BenchState.h"
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#endif
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namespace xmrig {
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extern template class Threads<CpuThreads>;
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static const String kType = "cpu";
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static std::mutex mutex;
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struct CpuLaunchStatus
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{
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public:
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inline const HugePagesInfo &hugePages() const { return m_hugePages; }
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inline size_t memory() const { return m_ways * m_memory; }
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inline size_t threads() const { return m_threads; }
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inline size_t ways() const { return m_ways; }
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inline void start(const std::vector<CpuLaunchData> &threads, size_t memory)
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{
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m_workersMemory.clear();
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m_hugePages.reset();
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m_memory = memory;
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m_started = 0;
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m_totalStarted = 0;
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m_errors = 0;
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m_threads = threads.size();
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m_ways = 0;
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m_ts = Chrono::steadyMSecs();
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}
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inline bool started(IWorker *worker, bool ready)
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{
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if (ready) {
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m_started++;
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m_totalStarted += worker->threads();
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if (m_workersMemory.insert(worker->memory()).second) {
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m_hugePages += worker->memory()->hugePages();
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}
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m_ways += worker->intensity();
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}
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else {
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m_errors++;
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}
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return (m_started + m_errors) == m_threads;
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}
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inline void print() const
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{
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if (m_started == 0) {
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LOG_ERR("%s " RED_BOLD("disabled") YELLOW(" (failed to start threads)"), Tags::cpu());
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return;
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}
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LOG_INFO("%s" GREEN_BOLD(" READY") " threads %s%zu/%zu (%zu)" CLEAR " huge pages %s%1.0f%% %zu/%zu" CLEAR " memory " CYAN_BOLD("%zu KB") BLACK_BOLD(" (%" PRIu64 " ms)"),
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Tags::cpu(),
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m_errors == 0 ? CYAN_BOLD_S : YELLOW_BOLD_S,
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m_totalStarted, std::max(m_totalStarted, m_threads), m_ways,
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(m_hugePages.isFullyAllocated() ? GREEN_BOLD_S : (m_hugePages.allocated == 0 ? RED_BOLD_S : YELLOW_BOLD_S)),
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m_hugePages.percent(),
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m_hugePages.allocated, m_hugePages.total,
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memory() / 1024,
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Chrono::steadyMSecs() - m_ts
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);
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}
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private:
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std::set<const VirtualMemory*> m_workersMemory;
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HugePagesInfo m_hugePages;
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size_t m_errors = 0;
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size_t m_memory = 0;
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size_t m_started = 0;
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size_t m_totalStarted = 0;
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size_t m_threads = 0;
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size_t m_ways = 0;
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uint64_t m_ts = 0;
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};
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class CpuBackendPrivate
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{
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public:
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inline explicit CpuBackendPrivate(Controller *controller) : controller(controller) {}
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inline void start()
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{
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LOG_INFO("%s use profile " BLUE_BG(WHITE_BOLD_S " %s ") WHITE_BOLD_S " (" CYAN_BOLD("%zu") WHITE_BOLD(" thread%s)") " scratchpad " CYAN_BOLD("%zu KB"),
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Tags::cpu(),
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profileName.data(),
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threads.size(),
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threads.size() > 1 ? "s" : "",
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algo.l3() / 1024
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);
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status.start(threads, algo.l3());
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# ifdef XMRIG_FEATURE_BENCHMARK
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workers.start(threads, benchmark);
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# else
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workers.start(threads);
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# endif
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}
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size_t ways() const
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{
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std::lock_guard<std::mutex> lock(mutex);
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return status.ways();
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}
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rapidjson::Value hugePages(int version, rapidjson::Document &doc) const
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{
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HugePagesInfo pages;
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# ifdef XMRIG_ALGO_RANDOMX
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if (algo.family() == Algorithm::RANDOM_X) {
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pages += Rx::hugePages();
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}
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# endif
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mutex.lock();
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pages += status.hugePages();
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mutex.unlock();
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rapidjson::Value hugepages;
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if (version > 1) {
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hugepages.SetArray();
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hugepages.PushBack(static_cast<uint64_t>(pages.allocated), doc.GetAllocator());
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hugepages.PushBack(static_cast<uint64_t>(pages.total), doc.GetAllocator());
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}
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else {
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hugepages = pages.isFullyAllocated();
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}
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return hugepages;
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}
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Algorithm algo;
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Controller *controller;
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CpuLaunchStatus status;
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std::vector<CpuLaunchData> threads;
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String profileName;
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Workers<CpuLaunchData> workers;
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# ifdef XMRIG_FEATURE_BENCHMARK
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std::shared_ptr<Benchmark> benchmark;
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# endif
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};
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} // namespace xmrig
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const char *xmrig::backend_tag(uint32_t backend)
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{
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# ifdef XMRIG_FEATURE_OPENCL
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if (backend == Nonce::OPENCL) {
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return ocl_tag();
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}
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# endif
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# ifdef XMRIG_FEATURE_CUDA
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if (backend == Nonce::CUDA) {
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return cuda_tag();
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}
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# endif
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return Tags::cpu();
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}
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const char *xmrig::cpu_tag()
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{
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return Tags::cpu();
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}
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xmrig::CpuBackend::CpuBackend(Controller *controller) :
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d_ptr(std::make_shared<CpuBackendPrivate>(controller))
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{
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d_ptr->workers.setBackend(this);
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}
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xmrig::CpuBackend::~CpuBackend()
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{
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}
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bool xmrig::CpuBackend::isEnabled() const
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{
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return d_ptr->controller->config()->cpu().isEnabled();
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}
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bool xmrig::CpuBackend::isEnabled(const Algorithm &algorithm) const
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{
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return !d_ptr->controller->config()->cpu().threads().get(algorithm).isEmpty();
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}
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bool xmrig::CpuBackend::tick(uint64_t ticks)
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{
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return d_ptr->workers.tick(ticks);
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}
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const xmrig::Hashrate *xmrig::CpuBackend::hashrate() const
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{
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return d_ptr->workers.hashrate();
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}
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const xmrig::String &xmrig::CpuBackend::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::CpuBackend::type() const
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{
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return kType;
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}
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void xmrig::CpuBackend::prepare(const Job &nextJob)
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{
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# ifdef XMRIG_ALGO_ARGON2
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const auto f = nextJob.algorithm().family();
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if ((f == Algorithm::ARGON2) || (f == Algorithm::RANDOM_X)) {
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if (argon2::Impl::select(d_ptr->controller->config()->cpu().argon2Impl())) {
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LOG_INFO("%s use " WHITE_BOLD("argon2") " implementation " CSI "1;%dm" "%s",
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Tags::cpu(),
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argon2::Impl::name() == "default" ? 33 : 32,
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argon2::Impl::name().data()
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);
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}
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}
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# endif
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}
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void xmrig::CpuBackend::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 "| CPU # | AFFINITY | 10s H/s | 60s H/s | 15m H/s |");
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size_t i = 0;
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for (const CpuLaunchData &data : d_ptr->threads) {
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Log::print("| %8zu | %8" PRId64 " | %7s | %7s | %7s |",
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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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);
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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::CpuBackend::printHealth()
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{
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}
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void xmrig::CpuBackend::setJob(const Job &job)
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{
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if (!isEnabled()) {
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return stop();
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}
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const auto &cpu = d_ptr->controller->config()->cpu();
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auto threads = cpu.get(d_ptr->controller->miner(), job.algorithm());
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if (!d_ptr->threads.empty() && d_ptr->threads.size() == threads.size() && std::equal(d_ptr->threads.begin(), d_ptr->threads.end(), threads.begin())) {
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return;
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}
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d_ptr->algo = job.algorithm();
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d_ptr->profileName = cpu.threads().profileName(job.algorithm());
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if (d_ptr->profileName.isNull() || threads.empty()) {
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LOG_WARN("%s " RED_BOLD("disabled") YELLOW(" (no suitable configuration found)"), Tags::cpu());
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return stop();
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}
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stop();
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# ifdef XMRIG_FEATURE_BENCHMARK
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if (BenchState::size()) {
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d_ptr->benchmark = std::make_shared<Benchmark>(threads.size(), this);
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}
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# endif
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d_ptr->threads = std::move(threads);
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d_ptr->start();
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}
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void xmrig::CpuBackend::start(IWorker *worker, bool ready)
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{
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mutex.lock();
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if (d_ptr->status.started(worker, ready)) {
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d_ptr->status.print();
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}
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mutex.unlock();
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if (ready) {
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worker->start();
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}
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}
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void xmrig::CpuBackend::stop()
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{
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if (d_ptr->threads.empty()) {
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return;
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}
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const uint64_t ts = Chrono::steadyMSecs();
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d_ptr->workers.stop();
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d_ptr->threads.clear();
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LOG_INFO("%s" YELLOW(" stopped") BLACK_BOLD(" (%" PRIu64 " ms)"), Tags::cpu(), Chrono::steadyMSecs() - ts);
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}
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#ifdef XMRIG_FEATURE_API
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rapidjson::Value xmrig::CpuBackend::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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const CpuConfig &cpu = d_ptr->controller->config()->cpu();
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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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out.AddMember("hw-aes", cpu.isHwAES(), allocator);
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out.AddMember("priority", cpu.priority(), allocator);
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out.AddMember("msr", Rx::isMSR(), allocator);
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# ifdef XMRIG_FEATURE_ASM
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const Assembly assembly = Cpu::assembly(cpu.assembly());
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out.AddMember("asm", assembly.toJSON(), allocator);
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# else
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out.AddMember("asm", false, allocator);
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# endif
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# ifdef XMRIG_ALGO_ARGON2
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out.AddMember("argon2-impl", argon2::Impl::name().toJSON(), allocator);
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# endif
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out.AddMember("hugepages", d_ptr->hugePages(2, doc), allocator);
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out.AddMember("memory", static_cast<uint64_t>(d_ptr->algo.isValid() ? (d_ptr->ways() * d_ptr->algo.l3()) : 0), allocator);
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if (d_ptr->threads.empty() || !hashrate()) {
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return out;
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}
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out.AddMember("hashrate", hashrate()->toJSON(doc), allocator);
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Value threads(kArrayType);
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size_t i = 0;
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for (const CpuLaunchData &data : d_ptr->threads) {
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Value thread(kObjectType);
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thread.AddMember("intensity", data.intensity, allocator);
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thread.AddMember("affinity", data.affinity, allocator);
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thread.AddMember("av", data.av(), allocator);
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thread.AddMember("hashrate", hashrate()->toJSON(i, doc), allocator);
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i++;
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threads.PushBack(thread, allocator);
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}
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out.AddMember("threads", threads, allocator);
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return out;
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}
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void xmrig::CpuBackend::handleRequest(IApiRequest &request)
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{
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if (request.type() == IApiRequest::REQ_SUMMARY) {
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request.reply().AddMember("hugepages", d_ptr->hugePages(request.version(), request.doc()), request.doc().GetAllocator());
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}
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}
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#endif
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#ifdef XMRIG_FEATURE_BENCHMARK
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xmrig::Benchmark *xmrig::CpuBackend::benchmark() const
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{
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return d_ptr->benchmark.get();
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}
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void xmrig::CpuBackend::printBenchProgress() const
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{
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if (d_ptr->benchmark) {
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d_ptr->benchmark->printProgress();
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}
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}
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#endif
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