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A sparse matrix‐vector multiplication method with low preprocessing cost
(Wiley, 2018-11-10)
Sparse matrix-vector multiplication (SpMV) is a crucial operation used for solving many engineering and scientific problems. In general, there is no single SpMV method that gives high performance for all sparse matrices. ...
Autotuning runtime specialization for sparse matrix-vector multiplication
(ACM, 2016-04)
Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this paper we apply autotuning on runtime specialization of Sparse Matrix-Vector Multiplication to predict ...
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