cuda第二个程序

第二个程序的目的是点看我电脑上的gpu的基本信息。查询设备。

文件存为cuda_1.1。

更改如下：

// Add vectors in parallel.

//cudaError_t 是cuda错误类型，取值为整数。

cudaError_t cudaStatus;

int num = 0;

cudaDeviceProp prop;

cudaStatus = cudaGetDeviceCount(&num);

for(int i = 0;i<num;i++)

{

cudaGetDeviceProperties(&prop,i);

printf( " --- General Information for device %d ---\n", i );

printf( "Name: %s\n", prop.name );//名称

printf( "Compute capability: %d.%d\n", prop.major, prop.minor );设备计算功能集的主版本号以及次版本号

printf( "Clock rate: %d\n", prop.clockRate );时钟频率

printf( "Device copy overlap: " );一个布尔类型值，表示设备是否能同时执行一个cudaMemory（）调用和一个核函数调用。

if (prop.deviceOverlap)

printf( "Enabled\n" );

else

printf( "Disabled\n");

printf( "Kernel execution timeout : " );内核执行超时

if (prop.kernelExecTimeoutEnabled)

printf( "Enabled\n" );

else

printf( "Disabled\n" );

printf( " --- Memory Information for device %d ---\n", i );

printf( "Total global mem: %ld\n", prop.totalGlobalMem );设备上全局内存的总量，单位为字节。

printf( "Total constant Mem: %ld\n", prop.totalConstMem );总常量MEM

printf( "Max mem pitch: %ld\n", prop.memPitch );

printf( "Texture Alignment: %ld\n", prop.textureAlignment );

printf( " --- MP Information for device %d ---\n", i );

printf( "Multiprocessor count: %d\n",

prop.multiProcessorCount );

printf( "Shared mem per mp: %ld\n", prop.sharedMemPerBlock );

printf( "Registers per mp: %d\n", prop.regsPerBlock );

printf( "Threads in warp: %d\n", prop.warpSize );

printf( "Max threads per block: %d\n",

prop.maxThreadsPerBlock );

printf( "Max thread dimensions: (%d, %d, %d)\n",

prop.maxThreadsDim[0], prop.maxThreadsDim[1],

prop.maxThreadsDim[2] );

printf( "Max grid dimensions: (%d, %d, %d)\n",

prop.maxGridSize[0], prop.maxGridSize[1],

prop.maxGridSize[2] );

printf( "\n" );

}

multiProcessorCount：GPU大核数，一个大核（专业点称为流多处理器，SM，Stream-Multiprocessor）包含多个小核（流处理器，SP，Stream-Processor）

调用cudaGetDeviceCount(&num);可以对每个设备进行迭代 ，并查询各个设备的相关信息。cuda运行时候将会返回一个cudaDeviceProp结构的，其中包含啦设备的相关属性。