#pragma region 检查网格和块的索引和维度
__global__ void checkIndex(void)
{
    printf("threadIdx:(%d, %d, %d)\n", threadIdx.x, threadIdx.y, threadIdx.z);
    printf("blockIdx:(%d, %d, %d)\n", blockIdx.x, blockIdx.y, blockIdx.z);

    printf("blockDim:(%d, %d, %d)\n", blockDim.x, blockDim.y, blockDim.z);
    printf("gridDim:(%d, %d, %d)\n", gridDim.x, gridDim.y, gridDim.z);

}

int checkDimension()
{
    // define total data element
    int nElem = 6;

    // define grid and block structure
    dim3 block(3);
    dim3 grid((nElem + block.x - 1) / block.x);

    // check grid and block dimension from host side
    printf("grid.x %d grid.y %d grid.z %d\n", grid.x, grid.y, grid.z);
    printf("block.x %d block.y %d block.z %d\n", block.x, block.y, block.z);
    printf("--------------------------------------------------  \n");

    // check grid and block dimension from device side
    checkIndex << <grid, block >> > ();

    // reset device before you leave
    //CHECK(cudaDeviceReset()); //hidden by zhengcheng 20200428

    return(0);
}

#pragma endregion

     要想理解Grid和Block这一小段程序运行一下就足够了。

     下面是运行的结果:

     Cuda下检查网格和块的索引和维度

      从这个例子可以看到,grid大,block小,这里grid、block都是1维的,其实也可以看做都是3维的,只是其他的两个维度都是1不变。

        再从核函数的内部来看,blockIdx反映的是grid内部,x方向上的数量变化。threadIdx反应的是block内部x方向上的数量变化。

 

 

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