科技公司网站模板,汽车服务站建站流程,wordpress代码,公司内部网站怎么建立CUDA
CUDA#xff08;Compute Unified Device Architecture#xff09;#xff0c;是显卡厂商NVIDIA推出的运算平台。 CUDA™是一种由NVIDIA推出的通用并行计算架构#xff0c;该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构#xff08;ISA#xff09;以及…CUDA
CUDACompute Unified Device Architecture是显卡厂商NVIDIA推出的运算平台。 CUDA™是一种由NVIDIA推出的通用并行计算架构该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构ISA以及GPU内部的并行计算引擎。 开发人员可以使用C语言来为CUDA™架构编写程序所编写出的程序可以在支持CUDA™的处理器上以超高性能运行。 如果这是你第一次使用CUDA在Linux系统中你可能想使用以下命令来检查CUDA 编译器是否正确安装
nvcc
使用nvidia-smi查询GPU信息
nvidia-smi 在运行时设置设备
CUDA_VISIBLE_DEVICES2nvidia驱动程序会屏蔽其他GPU这时设备2作为设备0出现在应用程序中。
CUDA_VISIBLE_DEVICES23 nvidia驱动程序将只使用ID为2和3的设备并且会将设备ID分别映射为0和1。
使用运行时API查询GPU信息
checkDeviceInfor.cu
#include ../common/common.h
#include cuda_runtime.h
#include stdio.h
/** Display a variety of information on the first CUDA device in this system,* including driver version, runtime version, compute capability, bytes of* global memory, etc.*/
int main(int argc, char **argv)
{printf(%s Starting...\n, argv[0]);
int deviceCount 0;cudaGetDeviceCount(deviceCount);
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;cudaDeviceProp deviceProp;
for(; dev deviceCount; dev){CHECK(cudaSetDevice(dev));CHECK(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 GBytes (%llu bytes)\n, (float)deviceProp.totalGlobalMem / pow(1024.0, 3),(unsigned long long)deviceProp.totalGlobalMem);printf( GPU Clock rate: %.0f MHz (%0.2f GHz)\n, deviceProp.clockRate * 1e-3f,deviceProp.clockRate * 1e-6f);printf( Memory Clock rate: %.0f Mhz\n,deviceProp.memoryClockRate * 1e-3f);printf( Memory Bus Width: %d-bit\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( Warp size: %d\n,deviceProp.warpSize);printf( Maximum number of threads per multiprocessor: %d\n,deviceProp.maxThreadsPerMultiProcessor);printf( Maximum number of threads per block: %d\n,deviceProp.maxThreadsPerBlock);printf( Maximum sizes of each dimension of a block: %d x %d x %d\n,deviceProp.maxThreadsDim[0],deviceProp.maxThreadsDim[1],deviceProp.maxThreadsDim[2]);printf( Maximum sizes 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: %lu bytes\n,deviceProp.memPitch);
exit(EXIT_SUCCESS);
}
