/* XMRig * Copyright 2010 Jeff Garzik * Copyright 2012-2014 pooler * Copyright 2014 Lucas Jones * Copyright 2014-2016 Wolf9466 * Copyright 2016 Jay D Dee * Copyright 2017-2018 XMR-Stak , * Copyright 2018-2019 SChernykh * Copyright 2016-2019 XMRig , * * 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 "backend/opencl/runners/OclRxVmRunner.h" #include "backend/opencl/kernels/rx/Blake2bHashRegistersKernel.h" #include "backend/opencl/kernels/rx/ExecuteVmKernel.h" #include "backend/opencl/kernels/rx/HashAesKernel.h" #include "backend/opencl/kernels/rx/InitVmKernel.h" #include "backend/opencl/OclLaunchData.h" #include "backend/opencl/wrappers/OclLib.h" #include "crypto/rx/RxAlgo.h" #include "base/io/log/Log.h" xmrig::OclRxVmRunner::OclRxVmRunner(size_t index, const OclLaunchData &data) : OclRxBaseRunner(index, data) { } xmrig::OclRxVmRunner::~OclRxVmRunner() { delete m_init_vm; delete m_execute_vm; OclLib::release(m_vm_states); } void xmrig::OclRxVmRunner::build() { OclRxBaseRunner::build(); const uint32_t batch_size = data().thread.intensity(); const uint32_t hashStrideBytes = RxAlgo::programSize(m_algorithm) * 8; m_hashAes1Rx4->setArgs(m_scratchpads, m_vm_states, hashStrideBytes, batch_size); m_blake2b_hash_registers_32->setArgs(m_hashes, m_vm_states, hashStrideBytes); m_blake2b_hash_registers_64->setArgs(m_hashes, m_vm_states, hashStrideBytes); m_init_vm = new InitVmKernel(m_program); m_init_vm->setArgs(m_entropy, m_vm_states, m_rounding); m_execute_vm = new ExecuteVmKernel(m_program); m_execute_vm->setArgs(m_vm_states, m_rounding, m_scratchpads, data().dataset->get(), batch_size); } void xmrig::OclRxVmRunner::execute(uint32_t iteration) { const uint32_t bfactor = std::min(data().thread.bfactor(), 8u); const uint32_t num_iterations = RxAlgo::programIterations(m_algorithm) >> bfactor; const uint32_t g_intensity = data().thread.intensity(); m_init_vm->enqueue(m_queue, g_intensity, iteration); // LOG_WARN("bfactor:%u %u %u", bfactor, RxAlgo::programIterations(m_algorithm), num_iterations); uint32_t first = 1; uint32_t last = 0; m_execute_vm->setIterations(num_iterations); m_execute_vm->setFirst(first); m_execute_vm->setLast(last); for (int j = 0, n = 1 << bfactor; j < n; ++j) { if (j == n - 1) { last = 1; m_execute_vm->setLast(last); } m_execute_vm->enqueue(m_queue, g_intensity, data().thread.worksize()); if (j == 0) { first = 0; m_execute_vm->setFirst(first); } } } void xmrig::OclRxVmRunner::init() { OclRxBaseRunner::init(); m_vm_states = OclLib::createBuffer(m_ctx, CL_MEM_READ_WRITE, 2560 * data().thread.intensity()); }