A matrix product algorithm and its comparative performance on hypercubes

Abstract

A matrix product algorithm is studied in which one matrix operand is transposed prior to the computation. This algorithm is compared with the Fox-Hey-Otto algorithm on hypercube architectures. The Transpose algorithm simplifies communication for nonsquare matrices and for computations where the number of processors is not a perfect square. The results indicate superior performance for the Transpose algorithm.<>