我尝试使用cudaMallocPitch
和cudaMemcpy2D
,但当我尝试将cudaMemcpy2D
与大数组一起使用时,我遇到了一个问题:
分段错误
这是可运行的源代码,没有错误。
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <random>
#define ROW_SIZE 32
#define COL_SIZE 1024
int main()
{
float ** pfTest;
pfTest = (float**)malloc(ROW_SIZE * sizeof(float*));
for (int i = 0; i < ROW_SIZE; i++) {
pfTest[i] = (float*)malloc(COL_SIZE * sizeof(float));
}
std::default_random_engine generator;
std::uniform_real_distribution<float> distribution;
for (int y = 0; y < ROW_SIZE; y++) {
for (int x = 0; x < COL_SIZE; x++) {
pfTest[y][x] = distribution(generator);
}
}
float *dev_Test;
size_t pitch;
cudaMallocPitch(&dev_Test, &pitch, COL_SIZE * sizeof(float), ROW_SIZE);
cudaMemcpy2D(dev_Test, pitch, pfTest, COL_SIZE * sizeof(float), COL_SIZE * sizeof(float), ROW_SIZE, cudaMemcpyHostToDevice);
printf("%s\n", cudaGetErrorString(cudaGetLastError()));
return 0;
}
如您所见,完全没有问题。
但是,当我尝试将COL_SIZE
扩展到约500,000
(确切地说,524288)时,它会因分段错误而崩溃。
有关问题根源的任何帮助吗?
答案 0 :(得分:4)
cudaMemcpy2D
只能用于复制斜线性内存。你的源数组是 not pitched线性内存,它是一个指针数组。这不受支持,是segfault的来源。
尝试这样的事情:
float* buffer;
float** pfTest;
const size_t buffer_pitch = size_t(COL_SIZE) * sizeof(float);
buffer = (float*)malloc(size_t(ROW_SIZE) * buffer_pitch);
pfTest = (float**)malloc(ROW_SIZE * sizeof(float*));
for (size_t i = 0; i < ROW_SIZE; i++) {
pfTest[i] = buffer + i * size_t(COL_SIZE);
}
// ...
cudaMallocPitch(&dev_Test, &pitch, buffer_pitch, ROW_SIZE);
cudaMemcpy2D(dev_Test, pitch, buffer, buffer_pitch,
buffer_pitch, ROW_SIZE, cudaMemcpyHostToDevice);
[注意:用浏览器编写,从未测试或编译,使用风险自负]
即。将要复制的数据存储在单个连续的内存分配中,该内存分配可以充当cudaMemcpy2D的音调线性源。如果坚持在主机上使用[][]
样式索引,那么您必须支付额外的指针数组与数据一起存储的代价。请注意,这实际上并不是必需的,您可以直接索引到buffer
并获得相同的结果,同时保存内存。