mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-28 14:49:17 +08:00
358 lines
10 KiB
C++
358 lines
10 KiB
C++
/**
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* Copyright 1993-2017 NVIDIA Corporation. All rights reserved.
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*
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* Please refer to the NVIDIA end user license agreement (EULA) associated
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* with this source code for terms and conditions that govern your use of
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* this software. Any use, reproduction, disclosure, or distribution of
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* this software and related documentation outside the terms of the EULA
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* is strictly prohibited.
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*
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*/
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// Helper functions for CUDA Driver API error handling (make sure that CUDA_H is
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// included in your projects)
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#ifndef HELPER_CUDA_DRVAPI_H
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#define HELPER_CUDA_DRVAPI_H
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <helper_string.h>
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#ifndef MAX
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#define MAX(a, b) (a > b ? a : b)
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#endif
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#ifndef HELPER_CUDA_DRVAPI_H
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inline int ftoi(float value) {
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return (value >= 0 ? static_cast<int>(value + 0.5)
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: static_cast<int>(value - 0.5));
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}
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#endif
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#ifndef EXIT_WAIVED
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#define EXIT_WAIVED 2
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#endif
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////////////////////////////////////////////////////////////////////////////////
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// These are CUDA Helper functions
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// add a level of protection to the CUDA SDK samples, let's force samples to
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// explicitly include CUDA.H
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#ifdef __cuda_cuda_h__
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// This will output the proper CUDA error strings in the event that a CUDA host
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// call returns an error
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#ifndef checkCudaErrors
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#define checkCudaErrors(err) __checkCudaErrors(err, __FILE__, __LINE__)
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// These are the inline versions for all of the SDK helper functions
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inline void __checkCudaErrors(CUresult err, const char *file, const int line) {
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if (CUDA_SUCCESS != err) {
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const char *errorStr = NULL;
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cuGetErrorString(err, &errorStr);
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fprintf(stderr,
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"checkCudaErrors() Driver API error = %04d \"%s\" from file <%s>, "
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"line %i.\n",
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err, errorStr, file, line);
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exit(EXIT_FAILURE);
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}
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}
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#endif
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// This function wraps the CUDA Driver API into a template function
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template <class T>
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inline void getCudaAttribute(T *attribute, CUdevice_attribute device_attribute,
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int device) {
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checkCudaErrors(cuDeviceGetAttribute(attribute, device_attribute, device));
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}
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#endif
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// Beginning of GPU Architecture definitions
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inline int _ConvertSMVer2CoresDRV(int major, int minor) {
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// Defines for GPU Architecture types (using the SM version to determine the #
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// of cores per SM
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typedef struct {
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int SM; // 0xMm (hexidecimal notation), M = SM Major version, and m = SM
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// minor version
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int Cores;
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} sSMtoCores;
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sSMtoCores nGpuArchCoresPerSM[] = {
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{0x30, 192},
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{0x32, 192},
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{0x35, 192},
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{0x37, 192},
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{0x50, 128},
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{0x52, 128},
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{0x53, 128},
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{0x60, 64},
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{0x61, 128},
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{0x62, 128},
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{0x70, 64},
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{0x72, 64},
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{0x75, 64},
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{0x80, 64},
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{0x86, 128},
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{0x87, 128},
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{0x90, 128},
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{-1, -1}};
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int index = 0;
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while (nGpuArchCoresPerSM[index].SM != -1) {
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if (nGpuArchCoresPerSM[index].SM == ((major << 4) + minor)) {
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return nGpuArchCoresPerSM[index].Cores;
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}
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index++;
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}
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// If we don't find the values, we default use the previous one to run
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// properly
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printf(
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"MapSMtoCores for SM %d.%d is undefined. Default to use %d Cores/SM\n",
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major, minor, nGpuArchCoresPerSM[index - 1].Cores);
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return nGpuArchCoresPerSM[index - 1].Cores;
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}
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// end of GPU Architecture definitions
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#ifdef __cuda_cuda_h__
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// General GPU Device CUDA Initialization
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inline int gpuDeviceInitDRV(int ARGC, const char **ARGV) {
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int cuDevice = 0;
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int deviceCount = 0;
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checkCudaErrors(cuInit(0, __CUDA_API_VERSION));
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checkCudaErrors(cuDeviceGetCount(&deviceCount));
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if (deviceCount == 0) {
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fprintf(stderr, "cudaDeviceInit error: no devices supporting CUDA\n");
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exit(EXIT_FAILURE);
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}
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int dev = 0;
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dev = getCmdLineArgumentInt(ARGC, (const char **)ARGV, "device=");
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if (dev < 0) {
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dev = 0;
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}
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if (dev > deviceCount - 1) {
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fprintf(stderr, "\n");
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fprintf(stderr, ">> %d CUDA capable GPU device(s) detected. <<\n",
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deviceCount);
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fprintf(stderr,
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">> cudaDeviceInit (-device=%d) is not a valid GPU device. <<\n",
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dev);
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fprintf(stderr, "\n");
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return -dev;
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}
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checkCudaErrors(cuDeviceGet(&cuDevice, dev));
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char name[100];
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checkCudaErrors(cuDeviceGetName(name, 100, cuDevice));
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int computeMode;
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getCudaAttribute<int>(&computeMode, CU_DEVICE_ATTRIBUTE_COMPUTE_MODE, dev);
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if (computeMode == CU_COMPUTEMODE_PROHIBITED) {
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fprintf(stderr,
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"Error: device is running in <CU_COMPUTEMODE_PROHIBITED>, no "
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"threads can use this CUDA Device.\n");
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return -1;
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}
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if (checkCmdLineFlag(ARGC, (const char **)ARGV, "quiet") == false) {
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printf("gpuDeviceInitDRV() Using CUDA Device [%d]: %s\n", dev, name);
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}
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return dev;
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}
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// This function returns the best GPU based on performance
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inline int gpuGetMaxGflopsDeviceIdDRV() {
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CUdevice current_device = 0;
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CUdevice max_perf_device = 0;
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int device_count = 0;
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int sm_per_multiproc = 0;
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unsigned long long max_compute_perf = 0;
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int major = 0;
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int minor = 0;
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int multiProcessorCount;
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int clockRate;
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int devices_prohibited = 0;
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cuInit(0, __CUDA_API_VERSION);
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checkCudaErrors(cuDeviceGetCount(&device_count));
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if (device_count == 0) {
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fprintf(stderr,
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"gpuGetMaxGflopsDeviceIdDRV error: no devices supporting CUDA\n");
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exit(EXIT_FAILURE);
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}
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// Find the best CUDA capable GPU device
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current_device = 0;
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while (current_device < device_count) {
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checkCudaErrors(cuDeviceGetAttribute(
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&multiProcessorCount, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT,
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current_device));
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checkCudaErrors(cuDeviceGetAttribute(
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&clockRate, CU_DEVICE_ATTRIBUTE_CLOCK_RATE, current_device));
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checkCudaErrors(cuDeviceGetAttribute(
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&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, current_device));
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checkCudaErrors(cuDeviceGetAttribute(
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&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, current_device));
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int computeMode;
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getCudaAttribute<int>(&computeMode, CU_DEVICE_ATTRIBUTE_COMPUTE_MODE,
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current_device);
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if (computeMode != CU_COMPUTEMODE_PROHIBITED) {
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if (major == 9999 && minor == 9999) {
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sm_per_multiproc = 1;
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} else {
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sm_per_multiproc = _ConvertSMVer2CoresDRV(major, minor);
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}
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unsigned long long compute_perf =
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(unsigned long long)(multiProcessorCount * sm_per_multiproc *
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clockRate);
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if (compute_perf > max_compute_perf) {
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max_compute_perf = compute_perf;
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max_perf_device = current_device;
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}
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} else {
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devices_prohibited++;
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}
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++current_device;
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}
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if (devices_prohibited == device_count) {
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fprintf(stderr,
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"gpuGetMaxGflopsDeviceIdDRV error: all devices have compute mode "
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"prohibited.\n");
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exit(EXIT_FAILURE);
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}
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return max_perf_device;
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}
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// General initialization call to pick the best CUDA Device
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inline CUdevice findCudaDeviceDRV(int argc, const char **argv) {
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CUdevice cuDevice;
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int devID = 0;
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// If the command-line has a device number specified, use it
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if (checkCmdLineFlag(argc, (const char **)argv, "device")) {
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devID = gpuDeviceInitDRV(argc, argv);
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if (devID < 0) {
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printf("exiting...\n");
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exit(EXIT_SUCCESS);
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}
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} else {
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// Otherwise pick the device with highest Gflops/s
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char name[100];
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devID = gpuGetMaxGflopsDeviceIdDRV();
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checkCudaErrors(cuDeviceGet(&cuDevice, devID));
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cuDeviceGetName(name, 100, cuDevice);
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printf("> Using CUDA Device [%d]: %s\n", devID, name);
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}
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cuDeviceGet(&cuDevice, devID);
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return cuDevice;
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}
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inline CUdevice findIntegratedGPUDrv() {
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CUdevice current_device = 0;
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int device_count = 0;
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int devices_prohibited = 0;
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int isIntegrated;
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cuInit(0, __CUDA_API_VERSION);
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checkCudaErrors(cuDeviceGetCount(&device_count));
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if (device_count == 0) {
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fprintf(stderr, "CUDA error: no devices supporting CUDA.\n");
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exit(EXIT_FAILURE);
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}
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// Find the integrated GPU which is compute capable
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while (current_device < device_count) {
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int computeMode = -1;
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checkCudaErrors(cuDeviceGetAttribute(
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&isIntegrated, CU_DEVICE_ATTRIBUTE_INTEGRATED, current_device));
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checkCudaErrors(cuDeviceGetAttribute(
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&computeMode, CU_DEVICE_ATTRIBUTE_COMPUTE_MODE, current_device));
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// If GPU is integrated and is not running on Compute Mode prohibited use
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// that
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if (isIntegrated && (computeMode != CU_COMPUTEMODE_PROHIBITED)) {
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int major = 0, minor = 0;
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char deviceName[256];
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checkCudaErrors(cuDeviceGetAttribute(
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&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR,
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current_device));
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checkCudaErrors(cuDeviceGetAttribute(
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&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR,
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current_device));
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checkCudaErrors(cuDeviceGetName(deviceName, 256, current_device));
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printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n",
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current_device, deviceName, major, minor);
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return current_device;
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} else {
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devices_prohibited++;
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}
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current_device++;
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}
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if (devices_prohibited == device_count) {
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fprintf(stderr, "CUDA error: No Integrated CUDA capable GPU found.\n");
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exit(EXIT_FAILURE);
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}
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return -1;
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}
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// General check for CUDA GPU SM Capabilities
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inline bool checkCudaCapabilitiesDRV(int major_version, int minor_version,
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int devID) {
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CUdevice cuDevice;
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char name[256];
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int major = 0, minor = 0;
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checkCudaErrors(cuDeviceGet(&cuDevice, devID));
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checkCudaErrors(cuDeviceGetName(name, 100, cuDevice));
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checkCudaErrors(cuDeviceGetAttribute(
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&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevice));
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checkCudaErrors(cuDeviceGetAttribute(
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&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cuDevice));
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if ((major > major_version) ||
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(major == major_version && minor >= minor_version)) {
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printf("> Device %d: <%16s >, Compute SM %d.%d detected\n", devID, name,
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major, minor);
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return true;
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} else {
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printf(
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"No GPU device was found that can support CUDA compute capability "
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"%d.%d.\n",
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major_version, minor_version);
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return false;
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}
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}
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#endif
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// end of CUDA Helper Functions
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#endif // HELPER_CUDA_DRVAPI_H
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