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https://github.com/jwinterm/xmr-stak.git
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psychocrypt
990c357cc9
- amd/nvidia add hard limit that 64MiB memory keeps free - improve nvidia auto suggestion (take care of lmem) - add c++11 flag to nvidia compiler
113 lines
3.0 KiB
C++
113 lines
3.0 KiB
C++
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#pragma once
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#include "autoAdjust.hpp"
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#include "nvcc_code/cryptonight.h"
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#include "jconf.h"
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#include "../../console.h"
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#include "../../ConfigEditor.hpp"
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#include <vector>
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#include <cstdio>
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#include <sstream>
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#include <string>
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namespace xmrstak
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{
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namespace nvidia
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{
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class autoAdjust
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{
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public:
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autoAdjust()
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{
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}
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/** print the adjusted values if needed
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*
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* Routine exit the application and print the adjusted values if needed else
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* nothing is happened.
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*/
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bool printConfig()
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{
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int deviceCount = 0;
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if(cuda_get_devicecount(&deviceCount) == 0)
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std::exit(0);
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// evaluate config parameter for if auto adjustment is needed
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// evaluate config parameter for if auto adjustment is needed
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for(int i = 0; i < deviceCount; i++)
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{
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nvid_ctx ctx;
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ctx.device_id = i;
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// -1 trigger auto adjustment
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ctx.device_blocks = -1;
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ctx.device_threads = -1;
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// set all evice option those marked as auto (-1) to a valid value
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#ifndef _WIN32
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ctx.device_bfactor = 0;
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ctx.device_bsleep = 0;
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#else
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// windows pass, try to avoid that windows kills the miner if the gpu is blocked for 2 seconds
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ctx.device_bfactor = 6;
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ctx.device_bsleep = 25;
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#endif
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if( cuda_get_deviceinfo(&ctx) != 1 )
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{
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printer::inst()->print_msg(L0, "Setup failed for GPU %d. Exitting.\n", i);
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std::exit(0);
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}
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nvidCtxVec.push_back(ctx);
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}
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generateThreadConfig();
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return true;
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}
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private:
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void generateThreadConfig()
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{
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// load the template of the backend config into a char variable
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const char *tpl =
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#include "./config.tpl"
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;
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ConfigEditor configTpl{};
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configTpl.set( std::string(tpl) );
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constexpr size_t byte2mib = 1024u * 1024u;
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std::string conf;
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int i = 0;
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for(auto& ctx : nvidCtxVec)
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{
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conf += std::string(" // gpu: ") + ctx.name + " architecture: " + std::to_string(ctx.device_arch[0] * 10 + ctx.device_arch[1]) + "\n";
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conf += std::string(" // memory: ") + std::to_string(ctx.free_device_memory / byte2mib) + "/" + std::to_string(ctx.total_device_memory / byte2mib) + " MiB\n";
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conf += std::string(" { \"index\" : ") + std::to_string(ctx.device_id) + ",\n" +
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" \"threads\" : " + std::to_string(ctx.device_threads) + ", \"blocks\" : " + std::to_string(ctx.device_blocks) + ",\n" +
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" \"bfactor\" : " + std::to_string(ctx.device_bfactor) + ", \"bsleep\" : " + std::to_string(ctx.device_bsleep) + ",\n" +
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" \"affine_to_cpu\" : false,\n" +
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" },\n";
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++i;
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}
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configTpl.replace("GPUCONFIG",conf);
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configTpl.write("nvidia.txt");
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printer::inst()->print_msg(L0, "NVIDIA: GPU configuration stored in file '%s'", "nvidia.txt");
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}
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std::vector<nvid_ctx> nvidCtxVec;
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};
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} // namespace nvidia
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} // namepsace xmrstak
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