IPSJ Transactions on System and LSI Design Methodology
Online ISSN : 1882-6687
ISSN-L : 1882-6687
Synthesis and Generalization of Parallel Algorithm for Matrix-vector Multiplication
Yukio MiyasakaAkihiro GodaAshish MittalMasahiro Fujita
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2020 Volume 13 Pages 31-34

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Abstract

Recently, there have been more chances to calculate matrix-vector multiplication due to the growing use of the neural network. We have proposed the method to automatically synthesize the optimum parallel algorithm for the given environment and synthesized an algorithm for matrix-vector multiplication of a specific size matrix with 4 nodes connected in a oneway ring. This paper proposes a method to generalize the synthesized algorithm to deal with any size matrix. We generalized the synthesized algorithm for the 32×32 matrix to calculate N × N matrix-vector multiplication.

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© 2020 by the Information Processing Society of Japan
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