Converting Cuda Array1 of Typename1 to Array2 of Typename2

Dear Cuda Scholars,

Looking for solution for the below problem

a) I have two arrays 1) array1 of size1 which is of typename1 2) array2 of size1 which is of typename2

b) I am wanting to write a kernel of the following prototype

__global__ kernel(void* dest, void* src, int dest_sizeoftype, int src_sizeoftype, int num_array_elts);

c) Supposing I create num_array_elts cuda threads, each threads copying its elt to from src to destination.

Issue: a)开发者_运维技巧 The place I am getting stuck is which function to use to copy num_bytes from src to dest in the kernel.

Thanking you in advance Regards, Nagaraju

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The copy algorithm in Thrust makes this easy.

#include <thrust/copy.h>
#include <thrust/device_ptr.h>

int   * src = ...
float * dst = ...

// first wrap the 'raw' pointers
thrust::device_ptr<int>   wrapped_src(src);
thrust::device_ptr<float> wrapped_dst(dst);

// then pass wrapped pointers to copy()
thrust::copy(wrapped_src, wrapped_src + num_array_elts, wrapped_dst);

Refer to the QuickStart guide for additional info about Thrust.

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If you know the types of the 2 arrays this problem becomes fairly trivial.

__global__ kernel(float* dest, int* src){

    int idx=blockIdx.x*blockDim.x+threadIdx.x;
    dest[ idx ] = src[ idx ];

}

If your dest array used a larger word e.g. a double, this would still work and there would be no need to know the number of bytes. Just make sure you allocate the correct number of bytes when using cudamalloc.