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One of the standout features of nvmath-python is its ability to fuse epilog operations with matrix multiplication. Epilogs are operations that can be integrated with mathematical computations such as ...

If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix multiplication, where \([r,g,b]\) are the original values ...

This has motivated the development of several algorithms that seek to speed up matrix-vector multiplication by distributing the computation across multiple computing nodes. The individual nodes (the ...

Abstract: We consider the problem of designing a coding scheme that allows both sparsity and privacy for distributed matrix-vector multiplication. Perfect information-theoretic privacy requires ...

Abstract: Sparse Matrix-Vector Multiplication (SpMV) is a fundamental operation in a number of scientific and engineering problems. When the sparse matrices processed are large enough, distributed ...