/* XMRig * Copyright 2018-2019 MoneroOcean , * * 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 . */ #include "core/Benchmark.h" #include "core/Controller.h" #include "core/config/Config.h" #include "core/Miner.h" #include "base/io/log/Log.h" #include "base/net/stratum/Job.h" #include "net/JobResult.h" #include "net/JobResults.h" #include "net/Network.h" #include "rapidjson/document.h" #include namespace xmrig { Benchmark::Benchmark() : m_controller(nullptr), m_isNewBenchRun(true) { for (BenchAlgo bench_algo = static_cast(0); bench_algo != BenchAlgo::MAX; bench_algo = static_cast(bench_algo + 1)) { m_bench_job[bench_algo] = new Job(false, Algorithm(ba2a[bench_algo]), "benchmark"); } } Benchmark::~Benchmark() { for (BenchAlgo bench_algo = static_cast(0); bench_algo != BenchAlgo::MAX; bench_algo = static_cast(bench_algo + 1)) { delete m_bench_job[bench_algo]; } } // start performance measurements from the first bench_algo void Benchmark::start() { JobResults::setListener(this); // register benchmark as job result listener to compute hashrates there // write text before first benchmark round LOG_ALERT(">>>>> STARTING ALGO PERFORMANCE CALIBRATION (with %i seconds round)", m_controller->config()->benchAlgoTime()); // start benchmarking from first PerfAlgo in the list start(xmrig::Benchmark::MIN); } // end of benchmarks, switch to jobs from the pool (network), fill algo_perf void Benchmark::finish() { for (Algorithm::Id algo = static_cast(0); algo != Algorithm::MAX; algo = static_cast(algo + 1)) { algo_perf[algo] = get_algo_perf(algo); } m_bench_algo = BenchAlgo::INVALID; m_controller->miner()->pause(); // do not compute anything before job from the pool JobResults::setListener(m_controller->network()); m_controller->start(); } rapidjson::Value Benchmark::toJSON(rapidjson::Document &doc) const { using namespace rapidjson; auto &allocator = doc.GetAllocator(); Value obj(kObjectType); for (const auto &a : m_controller->miner()->algorithms()) { obj.AddMember(StringRef(a.shortName()), algo_perf[a.id()], allocator); } return obj; } void Benchmark::read(const rapidjson::Value &value) { for (Algorithm::Id algo = static_cast(0); algo != Algorithm::MAX; algo = static_cast(algo + 1)) { algo_perf[algo] = 0.0f; } if (value.IsObject()) { for (auto &member : value.GetObject()) { const Algorithm algo(member.name.GetString()); if (!algo.isValid()) { LOG_ALERT("Ignoring wrong algo-perf name %s", member.name.GetString()); continue; } if (member.value.IsFloat()) { algo_perf[algo.id()] = member.value.GetFloat(); m_isNewBenchRun = false; continue; } if (member.value.IsInt()) { algo_perf[algo.id()] = member.value.GetInt(); m_isNewBenchRun = false; continue; } LOG_ALERT("Ignoring wrong value for %s algo-perf", member.name.GetString()); } } } float Benchmark::get_algo_perf(Algorithm::Id algo) const { switch (algo) { case Algorithm::CN_0: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_1: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_2: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_R: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_WOW: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_FAST: return m_bench_algo_perf[BenchAlgo::CN_R] * 2; case Algorithm::CN_HALF: return m_bench_algo_perf[BenchAlgo::CN_R] * 2; case Algorithm::CN_XAO: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_RTO: return m_bench_algo_perf[BenchAlgo::CN_R]; case Algorithm::CN_RWZ: return m_bench_algo_perf[BenchAlgo::CN_R] / 3 * 4; case Algorithm::CN_ZLS: return m_bench_algo_perf[BenchAlgo::CN_R] / 3 * 4; case Algorithm::CN_DOUBLE: return m_bench_algo_perf[BenchAlgo::CN_R] / 2; case Algorithm::CN_GPU: return m_bench_algo_perf[BenchAlgo::CN_GPU]; case Algorithm::CN_LITE_0: return m_bench_algo_perf[BenchAlgo::CN_LITE_1]; case Algorithm::CN_LITE_1: return m_bench_algo_perf[BenchAlgo::CN_LITE_1]; case Algorithm::CN_HEAVY_0: return m_bench_algo_perf[BenchAlgo::CN_HEAVY_TUBE]; case Algorithm::CN_HEAVY_TUBE: return m_bench_algo_perf[BenchAlgo::CN_HEAVY_TUBE]; case Algorithm::CN_HEAVY_XHV: return m_bench_algo_perf[BenchAlgo::CN_HEAVY_TUBE]; case Algorithm::CN_PICO_0: return m_bench_algo_perf[BenchAlgo::CN_PICO_0]; case Algorithm::RX_0: return m_bench_algo_perf[BenchAlgo::RX_0]; case Algorithm::RX_WOW: return m_bench_algo_perf[BenchAlgo::RX_WOW]; case Algorithm::RX_LOKI: return m_bench_algo_perf[BenchAlgo::RX_0]; default: return 0.0f; } } // start performance measurements for specified perf bench_algo void Benchmark::start(const BenchAlgo bench_algo) { // prepare test job for benchmark runs ("benchmark" client id is to make sure we can detect benchmark jobs) Job& job = *m_bench_job[bench_algo]; job.setId(Algorithm(ba2a[bench_algo]).shortName()); // need to set different id so that workers will see job change // 99 here to trigger all future bench_algo versions for auto veriant detection based on block version job.setBlob("9905A0DBD6BF05CF16E503F3A66F78007CBF34144332ECBFC22ED95C8700383B309ACE1923A0964B00000008BA939A62724C0D7581FCE5761E9D8A0E6A1C3F924FDD8493D1115649C05EB601"); job.setTarget("FFFFFFFFFFFFFF20"); // set difficulty to 8 cause onJobResult after every 8-th computed hash job.setSeedHash("0000000000000000000000000000000000000000000000000000000000000001"); m_bench_algo = bench_algo; // current perf bench_algo m_hash_count = 0; // number of hashes calculated for current perf bench_algo m_time_start = 0; // init time of measurements start (in ms) during the first onJobResult m_controller->miner()->setJob(job, false); // set job for workers to compute } void Benchmark::onJobResult(const JobResult& result) { if (result.clientId != String("benchmark")) { // switch to network pool jobs JobResults::setListener(m_controller->network()); static_cast(m_controller->network())->onJobResult(result); return; } // ignore benchmark results for other perf bench_algo if (m_bench_algo == BenchAlgo::INVALID || result.jobId != String(Algorithm(ba2a[m_bench_algo]).shortName())) return; ++ m_hash_count; const uint64_t now = get_now(); if (!m_time_start) m_time_start = now; // time of measurements start (in ms) else if (now - m_time_start > static_cast(m_controller->config()->benchAlgoTime()*1000)) { // end of benchmark round for m_bench_algo const float hashrate = static_cast(m_hash_count) * result.diff / (now - m_time_start) * 1000.0f; m_bench_algo_perf[m_bench_algo] = hashrate; // store hashrate result LOG_ALERT(" ===> %s hasrate: %f", Algorithm(ba2a[m_bench_algo]).shortName(), hashrate); const BenchAlgo next_bench_algo = static_cast(m_bench_algo + 1); // compute next perf bench_algo to benchmark if (next_bench_algo != BenchAlgo::MAX) { start(next_bench_algo); } else { finish(); } } } uint64_t Benchmark::get_now() const { // get current time in ms using namespace std::chrono; return time_point_cast(high_resolution_clock::now()).time_since_epoch().count(); } } // namespace xmrig