Allocate 2D Array on Device Memory in CUDA

I found a solution to this problem. I didn’t have to flatten the array.

The inbuilt cudaMallocPitch() function did the job. And I could transfer the array to and from device using cudaMemcpy2D() function.

For example

cudaMallocPitch((void**) &array, &pitch, a*sizeof(float), b);

This creates a 2D array of size a*b with the pitch as passed in as parameter.

The following code creates a 2D array and loops over the elements. It compiles readily, you may use it.

#include<stdio.h>
#include<cuda.h>
#define height 50
#define width 50

// Device code
__global__ void kernel(float* devPtr, int pitch)
{
    for (int r = 0; r < height; ++r) {
        float* row = (float*)((char*)devPtr + r * pitch);
        for (int c = 0; c < width; ++c) {
             float element = row[c];
        }
    }
}

//Host Code
int main()
{    
    float* devPtr;
    size_t pitch;
    cudaMallocPitch((void**)&devPtr, &pitch, width * sizeof(float), height);
    kernel<<<100, 512>>>(devPtr, pitch);
    return 0;
}