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Cuda中當數組數大於線程數的處理方法

tde emc -c com -i str delet different target

參考stackoverflow一篇帖子的處理方法:https://stackoverflow.com/questions/26913683/different-way-to-index-threads-in-cuda-c

代碼中cuda_gridsize函數參考yolo。

代碼如下:

#include "cuda_runtime.h"
#include "device_launch_parameters.h"

#include <stdio.h>
#include <stdlib.h>
#include <iostream>
#include 
<ctime> using namespace std; #define BLOCK 512 dim3 cuda_gridsize(size_t n){ size_t k = (n - 1) / BLOCK + 1; unsigned int x = k; unsigned int y = 1; if (x > 65535){ x = ceil(sqrt(k)); y = (n - 1) / (x*BLOCK) + 1; } dim3 d = { x, y, 1 };
//printf("%ld %ld %ld %ld\n", n, x, y, x*y*BLOCK); return d; } __global__ void gpuCalc(unsigned char *img,long H,long W) { long threadId_2D = threadIdx.x + threadIdx.y*blockDim.x; long blockId_2D = blockIdx.x + blockIdx.y*gridDim.x; long i = threadId_2D + (blockDim.x*blockDim.y)*blockId_2D;
//另一種索引方式 //long i = (gridDim.x*blockDim.x)*(threadIdx.y + blockDim.y*blockIdx.y) + (threadIdx.x + blockDim.x*blockIdx.x); while (i < H*W){ img[i] = 255 - img[i]; i += (gridDim.x*blockDim.x)*(gridDim.y*blockDim.y); } } void addWithCuda(unsigned char *img, long H,long W) { unsigned char *dev_a = 0; cudaSetDevice(0); cudaMalloc((void**)&dev_a, H*W * sizeof(unsigned char)); cudaMemcpy(dev_a, img, H*W * sizeof(unsigned char), cudaMemcpyHostToDevice); gpuCalc<<<cuda_gridsize(H*W),BLOCK>> >(dev_a, H, W); cudaMemcpy(img, dev_a, H*W * sizeof(unsigned char), cudaMemcpyDeviceToHost); cudaFree(dev_a); cudaGetLastError(); } void cpuCalc(unsigned char *img,long W, long H) { for (long i = 0; i < H*W; i++) img[i] = 255 - img[i]; } int main() { long W = 20000; long H = 20000; unsigned char *img = new unsigned char[W*H]; unsigned char *cmp = new unsigned char[W*H]; for (long i = 0; i < H*W; i++) img[i] = rand() % 100; memcpy(cmp, img, H*W); cpuCalc(img, W, H); printf("cpu calc end\n"); addWithCuda(img, W,H); printf("gpu calc end\n"); bool flag = true; for (long i = 0; i < H*W; i++) { if (img[i] != cmp[i]) { printf("no pass\n"); flag = false; break; } } if (flag) printf("pass"); delete[] cmp; delete[] img; getchar(); return 0; }

Cuda中當數組數大於線程數的處理方法