【CUDA 基础】2.4 设备信息

---

title: 【CUDA 基础】2.4 设备信息

categories:

• CUDA
• Freshman
  
  tags:
• CUDA Device Information
  
  toc: true
  
  date: 2018-03-10 23:16:11

---

Abstract: 本文只介绍一个功能，如何获取设备（一个或多个）信息

Keywords: CUDA Device Information

开篇废话

今天跑了一天，然后晚上写了今天的代码，虽然都是printf的内容，用到的api就那么一两个，但是我还是自己打了一遍，算是深入学习一下。

我们用CUDA的时候一般有两种情况，一种自己写完自己用，使用本机或者已经确定的服务器，这时候我们只要查看说明书或者配置说明就知道用的什么型号的GPU，以及GPU的所有信息，但是如果我们写的程序是通用的程序或者框架，我们在使用CUDA前要先确定当前的硬件环境，这使得我们的程序不那么容易因为设备不同而崩溃，本文介绍两种方法，第一种适用于通用程序或者框架，第二种适合查询本机或者可登陆的服务器，并且一般不会改变，那么这时候用一条nvidia驱动提供的指令查询设备信息就很方便了。

API查询GPU信息

在软件内查询信息，用到如下代码：

#include <cuda_runtime.h>
#include <stdio.h>

int main(int argc,char** argv)
{
    printf("%s Starting ...\n",argv[0]);
    int deviceCount = 0;
    cudaError_t error_id = cudaGetDeviceCount(&deviceCount);
    if(error_id!=cudaSuccess)
    {
        printf("cudaGetDeviceCount returned %d\n ->%s\n",
              (int)error_id,cudaGetErrorString(error_id));
        printf("Result = FAIL\n");
        exit(EXIT_FAILURE);
    }
    if(deviceCount==0)
    {
        printf("There are no available device(s) that support CUDA\n");
    }
    else
    {
        printf("Detected %d CUDA Capable device(s)\n",deviceCount);
    }
    int dev=0,driverVersion=0,runtimeVersion=0;
    cudaSetDevice(dev);
    cudaDeviceProp deviceProp;
    cudaGetDeviceProperties(&deviceProp,dev);
    printf("Device %d:\"%s\"\n",dev,deviceProp.name);
    cudaDriverGetVersion(&driverVersion);
    cudaRuntimeGetVersion(&runtimeVersion);
    printf("  CUDA Driver Version / Runtime Version         %d.%d  /  %d.%d\n",
        driverVersion/1000,(driverVersion%100)/10,
        runtimeVersion/1000,(runtimeVersion%100)/10);
    printf("  CUDA Capability Major/Minor version number:   %d.%d\n",
        deviceProp.major,deviceProp.minor);
    printf("  Total amount of global memory:                %.2f MBytes (%llu bytes)\n",
            (float)deviceProp.totalGlobalMem/pow(1024.0,3));
    printf("  GPU Clock rate:                               %.0f MHz (%0.2f GHz)\n",
            deviceProp.clockRate*1e-3f,deviceProp.clockRate*1e-6f);
    printf("  Memory Bus width:                             %d-bits\n",
            deviceProp.memoryBusWidth);
    if (deviceProp.l2CacheSize)
    {
        printf("  L2 Cache Size:                            	%d bytes\n",
                deviceProp.l2CacheSize);
    }
    printf("  Max Texture Dimension Size (x,y,z)            1D=(%d),2D=(%d,%d),3D=(%d,%d,%d)\n",
            deviceProp.maxTexture1D,deviceProp.maxTexture2D[0],deviceProp.maxTexture2D[1]
            ,deviceProp.maxTexture3D[0],deviceProp.maxTexture3D[1],deviceProp.maxTexture3D[2]);
    printf("  Max Layered Texture Size (dim) x layers       1D=(%d) x %d,2D=(%d,%d) x %d\n",
            deviceProp.maxTexture1DLayered[0],deviceProp.maxTexture1DLayered[1],
            deviceProp.maxTexture2DLayered[0],deviceProp.maxTexture2DLayered[1],
            deviceProp.maxTexture2DLayered[2]);
    printf("  Total amount of constant memory               %lu bytes\n",
            deviceProp.totalConstMem);
    printf("  Total amount of shared memory per block:      %lu bytes\n",
            deviceProp.sharedMemPerBlock);
    printf("  Total number of registers available per block:%d\n",
            deviceProp.regsPerBlock);
    printf("  Wrap size:                                    %d\n",deviceProp.warpSize);
    printf("  Maximun number of thread per multiprocesser:  %d\n",
            deviceProp.maxThreadsPerMultiProcessor);
    printf("  Maximun number of thread per block:           %d\n",
            deviceProp.maxThreadsPerBlock);
    printf("  Maximun size of each dimension of a block:    %d x %d x %d\n",
            deviceProp.maxThreadsDim[0],deviceProp.maxThreadsDim[1],deviceProp.maxThreadsDim[2]);
    printf("  Maximun size of each dimension of a grid:     %d x %d x %d\n",
            deviceProp.maxGridSize[0],
	    deviceProp.maxGridSize[1],
	    deviceProp.maxGridSize[2]);
    printf("  Maximu memory pitch                           %lu bytes\n",deviceProp.memPitch);
    exit(EXIT_SUCCESS);
}

完整内容参考https://face2ai.com/CUDA-F-2-4-设备信息/