printf("Execution configuration <<<%d, %d>>>\n",grid.x,block.x); // copy kernel result back to host side cudaMemcpy(gpuRef, d_C, nBytes, cudaMemcpyDeviceToHost); // add vector at host side for result checks sumArraysOnHost(h_A, h_B, hostRef, nElem); // check device results ...
intfilter(int*dst,constint*src,intn){intnres=0;for(inti=0;i<n;i++)if(src[i]>0)dst[nres++]=src[i];// return the number of elements copiedreturnnres;} 过滤,也称为流压缩(stream compaction),是一种常见的操作,它是许多编程语言标准库的一部分,它有多种名称,包括 grep、copy_if、select ...
due either to unresolved dependencies or lack of execution resources. When the buffer is full, the device runtime system software will attempt to track new pending launches in a lower performance virtualized buffer. If the virtualized buffer is...
Copy __global__ void calculate_forces(void *devX, void *devA) { extern __shared__ float4[] shPosition; float4 *globalX = (float4 *)devX; float4 *globalA = (float4 *)devA; float4 myPosition; int i, tile; float3 acc = {0.0f, 0.0f, 0.0f}; int gtid = blockIdx...
copy_to_host() if __name__ == "__main__": main() 进行Shared Memory优化后,计算部分的耗时减少了近一半: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 matmul time :1.4370720386505127 matmul with shared memory time :0.7994928359985352 补充说明 声明Shared Memory。这里使用了cuda.shared.array(...
//Copy result back to host memory from device memory cudaMemcpy(h_c, d_c, N * sizeof(int), cudaMemcpyDeviceToHost); cudaDeviceSynchronize(); int Correct = 1; printf("Vector addition on GPU \n"); //Printing result on console for (int i = 0; i < N; i++) { if ((h_a[i...
# Tuning for H100 if torch.cuda.get_device_capability()[0] == 9: num_warps = 8 num_stages = 7 if Lk >= 64 else 3 # 计算Triton kernel的网格尺寸。triton.cdiv是一个辅助函数,用于计算向上取整的除法。 # q.shape[2]是序列长度,q.shape[0]和q.shape[1]分别是batch和seq length grid = ...
This is useful if the user is interested in the life range of any particular register, or register usage in general. Here’s a sample output (output is pruned for brevity): // +---+---+ // | GPR | PRED | // | | | // | | | // | 000000000011 | | // | # 012345678901 ...
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intmain(){printf("run_on_cpu_or_gpu CPU: %d\n",run_on_cpu_or_gpu());{int ret=run_on_gpu<<<1,1>>>();// error!!!even if run_on_gpu return int!!}printf("will end\n");return0;} 还有人会问,上面main函数怎么没有用修饰符修饰?cuda编程规定如果没有使用修饰符修饰的默认就是__...