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hy，我正在尝试将 2 个数组从全局内存复制到共享内存：全局数组类型是双精度的，每个人都有 32 个元素。网格是一维的，块是一维的。网格尺寸为 10000，NumberThreadPerBlock 为 32

__global__ void kernel_0(double px[], double py[], int N)
{
int ii,

    jj,tid;
    tid=blockIdx.x*blockDim.x + threadIdx.x;
    __shared__ double s_px[256];
    __shared__ double s_py[256];
    __shared__ double s[256];

s_px[threadIdx.x]=px[tid];
s_py[threadIdx.x]=py[tid];
s[threadIdx.x]=py[tid];
__syncthreads();
}


int main (int argc, char *argv[]){
    double *px, *py , *x, *y, PI, step, *d_x, *d_y,*d_px, *d_py,sharedMemSize;
    int N, Nx, ii;
    PI = 4*atan(1.0);
    Nx = 10000; 
    N = 32; 

    px = (double *) malloc(N*sizeof(double));
    py = (double *) malloc(N*sizeof(double));

    // lookup table: sin // from 0 to PI 
    step = 1.0 / (N-1);
    for (ii = 0; ii < N; ii++){ 
        px[ii] = ii*step*PI;
        py[ii] = sin(px[ii]);
    }   

    cudaMalloc( (void **) &d_px, N*sizeof(double) );
    cudaMalloc( (void **) &d_py, N*sizeof(double) );        

    cudaMemcpy( d_px, px, N*sizeof(double), cudaMemcpyHostToDevice );
    cudaMemcpy( d_py, py, N*sizeof(double), cudaMemcpyHostToDevice );

    dim3 dimGrid(Nx);
    dim3 dimBlock(N,1,1);
    kernel_0<<< dimGrid, dimBlock>>>(px, py, N);

}

它可以编译，但 cuda-memmcheck 显示了很多错误：

========= Invalid __global__ read of size 8
=========     at 0x00000058 in kernel_0
=========     by thread (31,0,0) in block (6,0,0)
=========     Address 0x11e0db38 is out of bounds
=========
========= ERROR SUMMARY: 96 errors

你能帮助我吗？

4

1 回答 1

1

据我所知，分配给设备指针（px，py）的内存是 32*sizeof(double)，但是你拥有的块数是 10000。设备内存是全局的，所有块共享它，只有共享内存为每个块定义。因此，对于 blockId.x = 1，您应该获得无效的内存访问。而且，在内核调用中，应该是d_px，d_py。

于 2013-01-12T02:24:04.853 回答