Synthesis and Generalization of Parallel Algorithm for Matrix-vector Multiplication
2020 年 13 巻 p. 31-34
詳細
2020 年 13 巻 p. 31-34
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.
