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gpu.cu
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Sun, Nov 3, 19:21

gpu.cu
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#include <iostream>
#include <cuda.h>
#include <cuda_runtime.h>
#if _WIN32
#include <Windows.h>
#endif
//--------------------------------------------------------------------------------------------------
/// @brief Pause the application if run within its own console window.
void pause()
{
bool pause = false;
#if _WIN32
HWND consoleWnd = GetConsoleWindow();
DWORD dwProcessId;
GetWindowThreadProcessId(consoleWnd, &dwProcessId);
if (GetCurrentProcessId() == dwProcessId) pause = true;
#endif
if (pause)
{
std::cout << std::endl << "Press [ENTER] to exit..." << std::flush;
std::cin.ignore(1);
}
} // end pause
//--------------------------------------------------------------------------------------------------
/// @brief Macro to check for and report Cuda errors.
/// @param name - Name (or title) of the call being exeucted
/// @param call - The cuda function the macro should execute and check
#define CUDA_CHECK(name, call) \
{ \
const cudaError_t r = (call); \
std::cout << name << ": " << cudaGetErrorString(r) << std::endl; \
if (r != cudaSuccess) \
{ \
pause(); \
return 1; \
} \
} // end CUDA_CHECK
//--------------------------------------------------------------------------------------------------
int main()
{
// determine the number of CUDA GPUs
int count = 0;
CUDA_CHECK("Device count", cudaGetDeviceCount(&count));
std::cout << count << " CUDA devices available" << std::endl;
// display stats on each GPU
cudaDeviceProp prop;
size_t memory;
for (int i = 0; i < count; ++i)
{
CUDA_CHECK("Device properties", cudaGetDeviceProperties(&prop, i));
CUDA_CHECK("Set GPU", cudaSetDevice(i));
CUDA_CHECK("Memory info", cudaMemGetInfo(NULL, &memory));
int cores = 0;
switch (prop.major)
{
case 1: cores = prop.multiProcessorCount * 8; break; // Tesla (not supported starting CUDA 7.0)
case 2: cores = prop.multiProcessorCount * (prop.minor == 0 ? 32 : 48); break; // Fermi (not supported starting CUDA 9.2)
case 3: cores = prop.multiProcessorCount * 192; break; // Kepler
case 5: cores = prop.multiProcessorCount * 128; break; // Maxwell
case 6: cores = prop.multiProcessorCount * (prop.minor == 0 ? 64 : 128); break; // Pascal
case 7: cores = prop.multiProcessorCount * 64; break; // Volta
}
std::cout << "GPU #" << i << ": " << prop.name << std::endl
<< " Compute capability: " << prop.major << "." << prop.minor << std::endl
<< " Multiprocessors: " << prop.multiProcessorCount << std::endl
<< " Cores: " << cores << std::endl
<< " Clock rate: " << prop.clockRate * 1.0e-6 << " GHz" << std::endl // KHz -> GHz
<< " Memory: " << memory * 1e-9 << " GB" << std::endl
<< " Ratio 32 vs. 64: " << prop.singleToDoublePrecisionPerfRatio << ":1" << std::endl
<< " maxThreads " << prop.maxThreadsDim[0] << " " << prop.maxThreadsDim[1] << " " << prop.maxThreadsDim[2] << std::endl;
}
// display driver version and application runtime version
int driver, runtime;
CUDA_CHECK("Driver version", cudaDriverGetVersion(&driver));
CUDA_CHECK("Runtime version", cudaRuntimeGetVersion(&runtime));
std::cout << "Driver version: " << driver <<std::endl
<< "Runtime version: " << runtime << std::endl;
pause();
return 0;
}

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