“CUDA”版本间的差异
来自iCenter Wiki
| 第34行： | 第34行： | ||
printf(“GPU blk %i thread %i %i\n”, blockIdx.x, threadIdx.x, threadIdx.y); | printf(“GPU blk %i thread %i %i\n”, blockIdx.x, threadIdx.x, threadIdx.y); | ||
} | } | ||
| − | |||
int main() | int main() | ||
{ | { | ||
2017年4月20日 (四) 01:58的版本
CUDA（Compute Unified Device Architecture，统一计算架构）
异构平行计算系统（heterogeneous parallel computing systems）
latency devices (CPU cores)
throughput devices (GPU cores)
单进程多数据(single process and mutiple data, SPMD) 模型
#include <stdio.h>
#include <cuda.h>
__global__ void my_kernel() {
printf(“Hello World from GPU!\n”);
}
int main()
{
printf("Hello World from CPU!\n");
my_kernel<<<1,1>>>();
cudaDeviceSynchronize()
return 0;
}
编译输出
$ nvcc hello_world.cu $ ./a.out Hello World from CPU! Hello World from GPU!
#include <stdio.h>
#include <cuda.h>
__global__ void my_kernel() {
printf(“GPU blk %i thread %i %i\n”, blockIdx.x, threadIdx.x, threadIdx.y);
}
int main() {
const dim3 threadsPerBlock(2,2); const dim3 blocksPerGrid(2); my_kernel<<<threadsPerBlock, blocksPerGrid>>>(); return 0; }
$ nvcc hello_world.cu $ ./a.out GPU block 0 thread 0 0 GPU block 0 thread 0 1 GPU block 0 thread 1 0 GPU block 0 thread 1 1 GPU block 1 thread 0 0 GPU block 1 thread 0 1 GPU block 1 thread 1 0 GPU block 1 thread 1 1
