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device_tools.cu
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device_tools.cu
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/**
* @author Daniel Thun and Christoph Schaefer
*
* @section LICENSE
* Copyright (c) 2019 Christoph Schaefer
*
* This file is part of miluphcuda.
*
* miluphcuda 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.
*
* miluphcuda 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 miluphcuda. If not, see <http://www.gnu.org/licenses/>.
*
*/
#include <stdio.h>
#include "device_tools.h"
/*
device informations
authors: Daniel Thun and Christoph Schaefer
mainly taken from cuda samples
*/
/* ********************************************************************* */
inline int _ConvertSMVer2Cores(int major, int minor)
/*!
* Helper function to calculate the number of CUDA core.
* Taken from cuda_samples/common/inc/helper_cuda.h
*********************************************************************** */
{
/* Defines for GPU Architecture types (using the SM version to determine the # of cores per SM */
typedef struct {
int SM; /* 0xMm (hexidecimal notation), M = SM Major version, and m = SM minor version */
int Cores;
} sSMtoCores;
sSMtoCores nGpuArchCoresPerSM[] =
{
{ 0x10, 8 }, /* Tesla Generation (SM 1.0) G80 class */
{ 0x11, 8 }, /* Tesla Generation (SM 1.1) G8x class */
{ 0x12, 8 }, /* Tesla Generation (SM 1.2) G9x class */
{ 0x13, 8 }, /* Tesla Generation (SM 1.3) GT200 class */
{ 0x20, 32 }, /* Fermi Generation (SM 2.0) GF100 class */
{ 0x21, 48 }, /* Fermi Generation (SM 2.1) GF10x class */
{ 0x30, 192}, /* Kepler Generation (SM 3.0) GK10x class */
{ 0x32, 192}, /* Kepler Generation (SM 3.2) GK10x class */
{ 0x35, 192}, /* Kepler Generation (SM 3.5) GK11x class */
{ 0x37, 192}, /* Kepler Generation (SM 3.7) GK21x class */
{ 0x50, 128}, /* Maxwell Generation (SM 5.0) GM10x class */
{ 0x52, 128},
{ 0x53, 128},
{ 0x60, 64},
{ 0x61, 128},
{ 0x62, 128},
{ 0x70, 64},
{ 0x72, 64},
{ 0x75, 64},
{ 0x80, 64},
{ 0x86, 128},
{ -1, -1 }
};
int index = 0;
while (nGpuArchCoresPerSM[index].SM != -1) {
if (nGpuArchCoresPerSM[index].SM == ((major << 4) + minor)) {
return nGpuArchCoresPerSM[index].Cores;
}
index++;
}
/* If we don't find the values, we default use the previous one to run properly */
printf("MapSMtoCores for SM %d.%d is undefined. Default to use %d Cores/SM\n",
major, minor, nGpuArchCoresPerSM[index-1].Cores);
return nGpuArchCoresPerSM[index-1].Cores;
}
/* ********************************************************************* */
void printfDeviceInformation(void)
/*!
* printfs some basic information about detected CUDA devices.
* Taken from cuda samples/1_Utilities/deviceQuery
*
*********************************************************************** */
{
int i, device_count, driverVersion = 0, runtimeVersion = 0;
struct cudaDeviceProp prop;
cudaGetDeviceCount(&device_count);
if (device_count == 0) {
printf("\nNo device(s) that support CUDA found!\n");
exit(1);
}
for (i = 0; i < device_count; i++) {
// cudaSetDevice(i);
cudaGetDeviceProperties(&prop, i);
cudaDriverGetVersion(&driverVersion);
cudaRuntimeGetVersion(&runtimeVersion);
printf("\nGeneral Information for Device %d -- %s\n\n", i, prop.name);
printf(" CUDA Driver Version: %d.%d\n", driverVersion/1000, (driverVersion%100)/10);
printf(" CUDA Runtime Version: %d.%d\n", runtimeVersion/1000, (runtimeVersion%100)/10);
printf(" Compute capability: %d.%d\n\n", prop.major, prop.minor);
printf(" Multiprocessors: %d\n", prop.multiProcessorCount);
printf(" CUDA Cores / Multiprocessor: %d\n", _ConvertSMVer2Cores(prop.major, prop.minor));
printf(" Total amount of CUDA Cores: %d\n", _ConvertSMVer2Cores(prop.major, prop.minor)*prop.multiProcessorCount);
printf(" GPU clock rate: %0.f MHz\n\n", prop.clockRate * 1e-3f);
#if CUDART_VERSION >= 5000
/* This is supported in CUDA 5.0 (runtime API device properties) */
printf(" Memory Clock rate: %.0f Mhz\n", prop.memoryClockRate * 1e-3f);
printf(" Memory Bus Width: %d-bit\n", prop.memoryBusWidth);
if (prop.l2CacheSize) {
printf(" L2 Cache Size: %d bytes\n\n", prop.l2CacheSize);
}
#endif
printf(" Total amount of global memory: %.0f MBytes\n", (float)prop.totalGlobalMem/1048576.0f);
printf(" Total amount of constant memory: %lu bytes\n", prop.totalConstMem);
printf(" Total amount of shared memory per block: %lu bytes\n", prop.sharedMemPerBlock);
/* if prop.major >= 3 set shared memory bank size to 8 byte */
if (prop.major >= 3) {
cudaDeviceSetSharedMemConfig(cudaSharedMemBankSizeEightByte);
printf(" Shared memory bank size %d bytes\n", 8);
}
else {
printf(" Shared memory bank size %d bytes\n", 4);
}
printf(" Total number of registers available per block: %d\n", prop.regsPerBlock);
printf(" Warp size: %d\n\n", prop.warpSize);
printf(" Maximum number of threads per multiprocessor: %d\n", prop.maxThreadsPerMultiProcessor);
printf(" Maximum number of threads per block: %d\n", prop.maxThreadsPerBlock);
printf(" Max dimension size of a thread block (x,y,z): (%d, %d, %d)\n", prop.maxThreadsDim[0], prop.maxThreadsDim[1], prop.maxThreadsDim[2]);
printf(" Max dimension size of a grid size (x,y,z): (%d, %d, %d)\n\n", prop.maxGridSize[0], prop.maxGridSize[1], prop.maxGridSize[2]);
printf(" Run time limit on kernels: %s\n", prop.kernelExecTimeoutEnabled ? "Yes" : "No");
printf(" Integrated GPU sharing Host Memory: %s\n", prop.integrated ? "Yes" : "No");
printf(" Support host page-locked memory mapping: %s\n", prop.canMapHostMemory ? "Yes" : "No");
printf(" Device has ECC support: %s\n", prop.ECCEnabled ? "Enabled" : "Disabled");
}
}