CUDA编程01——获取显卡设备信息

 环境配置就不多说了，有很多这方面的资料，作者的环境是：

显卡：Nvidia GeForce 920MX (很渣）

CUDA：9.2

IDE：VS2015

OS：WIN10 64bit

首先通过cuda的设备查询接口来获取显卡的相应信息，代码如下：

#include 
#include 

#include 
#include 

void main() {
	int deviceCount;
	cudaGetDeviceCount(&deviceCount);

	int dev;
	for (dev = 0; dev < deviceCount; dev++)
	{
		int driver_version(0), runtime_version(0);
		cudaDeviceProp deviceProp;
		cudaGetDeviceProperties(&deviceProp, dev);
		if (dev == 0)
			if (deviceProp.minor = 9999 && deviceProp.major == 9999)
				printf("\n");

		printf("\nDevice%d:\"%s\"\n", dev, deviceProp.name);
		cudaDriverGetVersion(&driver_version);
		printf("CUDA Driver Version:                            %d.%d\n", 
			driver_version / 1000, (driver_version % 1000) / 10);
		cudaRuntimeGetVersion(&runtime_version);
		printf("CUDA Runtime Version:                           %d.%d\n", 
			runtime_version / 1000, (runtime_version % 1000) / 10);
		printf("Device Prop:                                    %d.%d\n", 
			deviceProp.major, deviceProp.minor);
		printf("Total amount of Global Memory:                  %u bytes\n", 
			deviceProp.totalGlobalMem);
		printf("Number of SMs:                                  %d\n", 
			deviceProp.multiProcessorCount);
		printf("Total amount of Constant Memory:                %u bytes\n", 
			deviceProp.totalConstMem);
		printf("Total amount of Shared Memory per block:        %u bytes\n", 
			deviceProp.sharedMemPerBlock);
		printf("Total number of registers available per block:  %d\n", 
			deviceProp.regsPerBlock);
		printf("Warp size:                                      %d\n", 
			deviceProp.warpSize);
		printf("Maximum number of threads per SM:               %d\n", 
			deviceProp.maxThreadsPerMultiProcessor);
		printf("Maximum number of threads per block:            %d\n", 
			deviceProp.maxThreadsPerBlock);
		printf("Maximum size of each dimension of a block:      %d x %d x %d\n", 
			deviceProp.maxThreadsDim[0], deviceProp.maxThreadsDim[1], deviceProp.maxThreadsDim[2]);
		printf("Maximum size of each dimension of a grid:       %d x %d x %d\n", 
			deviceProp.maxGridSize[0], deviceProp.maxGridSize[1], deviceProp.maxGridSize[2]);
		printf("Maximum memory pitch:                           %u bytes\n", 
			deviceProp.memPitch);
		printf("Texture alignmemt:                              %u bytes\n", 
			deviceProp.texturePitchAlignment);
		printf("Clock rate:                                     %.2f GHz\n", 
			deviceProp.clockRate * 1e-6f);
		printf("Memory Clock rate:                              %.0f MHz\n", 
			deviceProp.memoryClockRate * 1e-3f);
		printf("Memory Bus Width:                               %d-bit\n", 
			deviceProp.memoryBusWidth);
	}

	system("pause");
}

编译时请记得切换到x64:

运行结果如下：

Device0:"GeForce 920MX"
CUDA Driver Version:                            11.0
CUDA Runtime Version:                           9.2
Device Prop:                                    5.0
Total amount of Global Memory:                  2147483648 bytes
Number of SMs:                                  2
Total amount of Constant Memory:                65536 bytes
Total amount of Shared Memory per block:        49152 bytes
Total number of registers available per block:  65536
Warp size:                                      32
Maximum number of threads per SM:               2048
Maximum number of threads per block:            1024
Maximum size of each dimension of a block:      1024 x 1024 x 64
Maximum size of each dimension of a grid:       2147483647 x 65535 x 65535
Maximum memory pitch:                           2147483647 bytes
Texture alignmemt:                              32 bytes
Clock rate:                                     0.99 GHz
Memory Clock rate:                              1001 MHz
Memory Bus Width:                               64-bit

说明：

Device0:                                                     "GeForce 920MX" #显卡型号
CUDA Driver Version:                                 11.0 # 显卡驱动的版本号
CUDA Runtime Version:                              9.2  # CUDA toolkit版本号
Device Prop:                                                5.0  # 显卡的计算能力（Compute Capability）

Total amount of Global Memory:                  2147483648 bytes # 显存大小

显卡计算能力查询网站：https://developer.nvidia.com/cuda-gpus

其他的字段后面用到了再介绍！