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#pragma once
#include "amd_gpu/gpu.hpp"
#include "autoAdjust.hpp"
#include "jconf.hpp"
#include "xmrstak/misc/console.hpp"
#include "xmrstak/misc/configEditor.hpp"
#include "xmrstak/params.hpp"
#include "xmrstak/backend/cryptonight.hpp"
#include "xmrstak/jconf.hpp"
#include <vector>
#include <cstdio>
#include <sstream>
#include <string>
#include <iostream>
#include <algorithm>
#if defined(__APPLE__)
#include <OpenCL/cl.h>
#else
#include <CL/cl.h>
#endif
namespace xmrstak
{
namespace amd
{
class autoAdjust
{
public:
autoAdjust()
{
}
/** print the adjusted values if needed
*
* Routine exit the application and print the adjusted values if needed else
* nothing is happened.
*/
bool printConfig()
{
int platformIndex = getAMDPlatformIdx();
if(platformIndex == -1)
{
printer::inst()->print_msg(L0,"WARNING: No AMD OpenCL platform found. Possible driver issues or wrong vendor driver.");
return false;
}
devVec = getAMDDevices(platformIndex);
int deviceCount = devVec.size();
if(deviceCount == 0)
{
printer::inst()->print_msg(L0,"WARNING: No AMD device found.");
return false;
}
generateThreadConfig(platformIndex);
return true;
}
private:
void generateThreadConfig(const int platformIndex)
{
// load the template of the backend config into a char variable
const char *tpl =
#include "./config.tpl"
;
configEditor configTpl{};
configTpl.set( std::string(tpl) );
constexpr size_t byteToMiB = 1024u * 1024u;
size_t hashMemSize;
if(::jconf::inst()->IsCurrencyMonero())
{
hashMemSize = MONERO_MEMORY;
}
else
{
hashMemSize = AEON_MEMORY;
}
std::string conf;
int i = 0;
for(auto& ctx : devVec)
{
// keep 128MiB memory free (value is randomly chosen)
size_t availableMem = ctx.freeMem - (128u * byteToMiB);
// 224byte extra memory is used per thread for meta data
size_t perThread = hashMemSize + 224u;
size_t max_intensity = availableMem / perThread;
// 1000 is a magic selected limit \todo select max intensity depending of the gpu type
size_t possibleIntensity = std::min( size_t(1000u) , max_intensity );
// map intensity to a multiple of the compute unit count, 8 is the number of threads per work group
size_t intensity = (possibleIntensity / (8 * ctx.computeUnits)) * ctx.computeUnits * 8;
conf += std::string(" // gpu: ") + ctx.name + " memory:" + std::to_string(availableMem / byteToMiB) + "\n";
conf += std::string(" // compute units: ") + std::to_string(ctx.computeUnits) + "\n";
// set 8 threads per block (this is a good value for the most gpus)
conf += std::string(" { \"index\" : ") + std::to_string(ctx.deviceIdx) + ",\n" +
" \"intensity\" : " + std::to_string(intensity) + ", \"worksize\" : " + std::to_string(8) + ",\n" +
" \"affine_to_cpu\" : false, \n"
" },\n";
++i;
}
configTpl.replace("PLATFORMINDEX",std::to_string(platformIndex));
configTpl.replace("GPUCONFIG",conf);
configTpl.write(params::inst().configFileAMD);
printer::inst()->print_msg(L0, "AMD: GPU configuration stored in file '%s'", params::inst().configFileAMD.c_str());
}
std::vector<GpuContext> devVec;
};
} // namespace amd
} // namepsace xmrstak
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