How to perform a sparse matrix dense matrix product with addition (cuda library style)

Specific Domains GPU
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spmm! is both available directly, by calling CUSPARSE.cusparseSpMM; as a slightly higher-level CUSPARSE.mm!, CUDA.jl/lib/cusparse/generic.jl at 5b470c4614f7388c7b5b0938a93f781294673e80 · JuliaGPU/CUDA.jl · GitHub; and via LinearAlgebra.mul! as called on sparse arrays, CUDA.jl/lib/cusparse/interfaces.jl at 5b470c4614f7388c7b5b0938a93f781294673e80 · JuliaGPU/CUDA.jl · GitHub.

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