/* This file is part of c-ethash. c-ethash 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. c-ethash 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 cpp-ethereum. If not, see . */ /** @file ethash_cu_miner.cpp * @author Tim Hughes * @date 2015 */ #define _CRT_SECURE_NO_WARNINGS #include #include #include #include #include #include #include #include #include #include #include #include #include "ethash_cu_miner.h" #include "ethash_cu_miner_kernel_globals.h" #define ETHASH_BYTES 32 // workaround lame platforms #if !CL_VERSION_1_2 #define CL_MAP_WRITE_INVALIDATE_REGION CL_MAP_WRITE #define CL_MEM_HOST_READ_ONLY 0 #endif #undef min #undef max using namespace std; unsigned const ethash_cu_miner::c_defaultLocalWorkSize = 128; unsigned const ethash_cu_miner::c_defaultGlobalWorkSizeMultiplier = 2048; // * CL_DEFAULT_LOCAL_WORK_SIZE ethash_cu_miner::search_hook::~search_hook() {} ethash_cu_miner::ethash_cu_miner() { } std::string ethash_cu_miner::platform_info(unsigned _deviceId) { int runtime_version; int device_count; device_count = getNumDevices(); if (device_count == 0) return std::string(); if (cudaRuntimeGetVersion(&runtime_version) == cudaErrorInvalidValue) { cout << cudaGetErrorString(cudaErrorInvalidValue) << endl; return std::string(); } // use selected default device int device_num = std::min((int)_deviceId, device_count - 1); cudaDeviceProp device_props; if (cudaGetDeviceProperties(&device_props, device_num) == cudaErrorInvalidDevice) { cout << cudaGetErrorString(cudaErrorInvalidDevice) << endl; return std::string(); } char platform[5]; int version_major = runtime_version / 1000; int version_minor = (runtime_version - (version_major * 1000)) / 10; sprintf(platform, "%d.%d", version_major, version_minor); char compute[5]; sprintf(compute, "%d.%d", device_props.major, device_props.minor); return "{ \"platform\": \"CUDA " + std::string(platform) + "\", \"device\": \"" + device_props.name + "\", \"version\": \"Compute " + std::string(compute) + "\" }"; } int ethash_cu_miner::getNumDevices() { int device_count; if (cudaGetDeviceCount(&device_count) == cudaErrorNoDevice) { cout << cudaGetErrorString(cudaErrorNoDevice) << endl; return 0; } return device_count; } void ethash_cu_miner::finish() { for (unsigned i = 0; i != m_num_buffers; i++) { cudaStreamDestroy(m_streams[i]); m_streams[i] = 0; } cudaDeviceReset(); } bool ethash_cu_miner::init(uint8_t const* _dag, uint64_t _dagSize, unsigned num_buffers, unsigned search_batch_size, unsigned workgroup_size, unsigned _deviceId, bool highcpu) { int device_count = getNumDevices(); if (device_count == 0) return false; // use selected device int device_num = std::min((int)_deviceId, device_count - 1); cudaDeviceProp device_props; if (cudaGetDeviceProperties(&device_props, device_num) == cudaErrorInvalidDevice) { cout << cudaGetErrorString(cudaErrorInvalidDevice) << endl; return false; } cout << "Using device: " << device_props.name << "(" << device_props.major << "." << device_props.minor << ")" << endl; cudaError_t r = cudaSetDevice(device_num); if (r != cudaSuccess) { cout << cudaGetErrorString(r) << endl; return false; } cudaDeviceReset(); cudaDeviceSetSharedMemConfig(cudaSharedMemBankSizeEightByte); m_num_buffers = num_buffers; m_search_batch_size = search_batch_size; m_hash_buf = new void *[m_num_buffers]; m_search_buf = new uint32_t *[m_num_buffers]; m_streams = new cudaStream_t[m_num_buffers]; // use requested workgroup size, but we require multiple of 8 m_workgroup_size = ((workgroup_size + 7) / 8) * 8; m_highcpu = highcpu; // patch source code cudaError result; uint32_t dagSize128 = (unsigned)(_dagSize / ETHASH_MIX_BYTES); unsigned max_outputs = c_max_search_results; result = set_constants(&dagSize128, &max_outputs); // create buffer for dag result = cudaMalloc(&m_dag_ptr, _dagSize); // create buffer for header256 result = cudaMalloc(&m_header, 32); // copy dag to CPU. result = cudaMemcpy(m_dag_ptr, _dag, _dagSize, cudaMemcpyHostToDevice); // create mining buffers for (unsigned i = 0; i != m_num_buffers; ++i) { result = cudaMallocHost(&m_hash_buf[i], 32 * c_hash_batch_size); result = cudaMallocHost(&m_search_buf[i], (c_max_search_results + 1) * sizeof(uint32_t)); result = cudaStreamCreate(&m_streams[i]); } if (result != cudaSuccess) { cout << cudaGetErrorString(result) << endl; return false; } return true; } /** * Prevent High CPU usage while waiting for an async task */ static unsigned waitStream(cudaStream_t stream) { unsigned wait_ms = 0; while (cudaStreamQuery(stream) == cudaErrorNotReady) { this_thread::sleep_for(chrono::milliseconds(10)); wait_ms += 10; } return wait_ms; } void ethash_cu_miner::search(uint8_t const* header, uint64_t target, search_hook& hook) { struct pending_batch { uint64_t start_nonce; unsigned buf; }; std::queue pending; static uint32_t const c_zero = 0; // update header constant buffer cudaMemcpy(m_header, header, 32, cudaMemcpyHostToDevice); for (unsigned i = 0; i != m_num_buffers; ++i) { cudaMemcpy(m_search_buf[i], &c_zero, 4, cudaMemcpyHostToDevice); } cudaError err = cudaGetLastError(); if (cudaSuccess != err) { throw std::runtime_error(cudaGetErrorString(err)); } unsigned buf = 0; std::random_device engine; uint64_t start_nonce = std::uniform_int_distribution()(engine); for (;; start_nonce += m_search_batch_size) { run_ethash_search(m_search_batch_size / m_workgroup_size, m_workgroup_size, m_streams[buf], m_search_buf[buf], m_header, m_dag_ptr, start_nonce, target); pending.push({ start_nonce, buf }); buf = (buf + 1) % m_num_buffers; // read results if (pending.size() == m_num_buffers) { pending_batch const& batch = pending.front(); uint32_t results[1 + c_max_search_results]; if (!m_highcpu) waitStream(m_streams[buf]); // 28ms cudaMemcpyAsync(results, m_search_buf[batch.buf], (1 + c_max_search_results) * sizeof(uint32_t), cudaMemcpyHostToHost, m_streams[batch.buf]); unsigned num_found = std::min(results[0], c_max_search_results); uint64_t nonces[c_max_search_results]; for (unsigned i = 0; i != num_found; ++i) { nonces[i] = batch.start_nonce + results[i + 1]; //cout << results[i + 1] << ", "; } //if (num_found > 0) // cout << endl; bool exit = num_found && hook.found(nonces, num_found); exit |= hook.searched(batch.start_nonce, m_search_batch_size); // always report searched before exit if (exit) break; start_nonce += m_search_batch_size; // reset search buffer if we're still going if (num_found) cudaMemcpyAsync(m_search_buf[batch.buf], &c_zero, 4, cudaMemcpyHostToDevice, m_streams[batch.buf]); cudaError err = cudaGetLastError(); if (cudaSuccess != err) { throw std::runtime_error(cudaGetErrorString(err)); } pending.pop(); } } }