GEMMW: A portable level 3 BLAS Winograd variant of Strassen's matrix- matrix multiply algorithm
type: Item
instance of: scholarly article
title: GEMMW: A portable level 3 BLAS Winograd variant of Strassen's matrix- matrix multiply algorithm
zbMATH Open document ID: 0793.65031
author: C. Douglas
author: Gordon Slishman
author: Roger M. Smith
author: Michael A. Heroux
published in: Journal of Computational Physics
publication date: 1994-08-08T00:00:00Z
review text: The authors describe a set of routines called GEMMW for implementing a Winograd variant of Strasser's matrix-matrix multiply algorithm. The aim is the multiplication of large, full, explicitly stored matrices. Both real and complex matrices are considered. Parallel environments with distributed memory are studied carefully. All matrix sizes are allowed and the source codes are available from LINALG/GEMMW. SHAR in NETLIB.
Mathematics Subject Classification ID: 65F30
Mathematics Subject Classification ID: 65Y05
zbMATH DE Number: 516881
zbMATH Keywords: parallel computation
zbMATH Keywords: Winograd method
zbMATH Keywords: GEMMW
zbMATH Keywords: Strasser's matrix-matrix multiply algorithm
reviewed by: Willy J. F. Govaerts
describes a project that uses: LAPACK
MaRDI profile type: Publication
OpenAlex ID: W2040832766
DOI: 10.1006/JCPH.1994.1001
Recommended article: Algorithm 784: GEMM-based level 3 BLAS
Recommended article: Exploiting fast matrix multiplication within the level 3 BLAS
Recommended article: Accelerated multiple precision matrix multiplication using Strassen's algorithm and Winograd's variant
Recommended article: GEMM-based level 3 BLAS
Recommended article: Performance evaluation of multiple precision matrix multiplications using parallelized Strassen and Winograd algorithms
Recommended article: Q4277580
Recommended article: Q4381475
Recommended article: Tight and efficient enclosure of matrix multiplication by using optimized BLAS.
description: scientific article; zbMATH DE number 516881