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c++cudagpusparse-matrixcublas

How to convert dense vector to sparse vector in CUDA ?


I have a large dense vector(not matrix) in GPU memory:

[1,3,0,0,4,0,0]

and want to convert it into sparse format:

values = [1,3,4]; index = [0,1,4]

I know I can call cusparse<t>dense2csc() in cuSPARSE, but that's designed for matrix, and may not be efficient for vector. Is there any other way to do this ? Or maybe a CUDA kernel. Thanks


Solution

  • Use thrust::copy_if

    int * d_index = [1,3,0,0,4,0,0];
    int * d_index_compact;
    
    struct non_negative
    {
        __host__ __device__
        bool operator()(const int x)
        {
            return x >= 0;
        }
    };
    
    
    thrust::copy_if(thrust::cuda::par, d_index, d_index + this->vocab_size , d_index_compact, non_negative()); // d_index_compact = [1,3,4];