Abstract

One of the backbone operations in numerical mathematics is multiplying a sparse matrix with a vector. In computations involving very large linear systems, the sparse matrix-vector multiplication (SpMV) can be sped up tremendously by performing it on a parallel computer. Effective parallelization of a SpMV requires an efficient distribution of
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