ScaLAPACK: A portable linear algebra library for distributed memory computers – Design issues and performance

J. Choi, J. Demmel, I. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, R. C. Whaley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

Abstract

This paper outlines the content and performance of ScaLA-PACK, a collection of mathematical software for linear algebra computations on distributed memory computers. The importance of developing standards for computational and message passing interfaces is discussed. We present the different components and building blocks of ScaLAPACK. This paper outlines the difficulties inherent in producing correct codes for networks of heterogeneous processors. Finally, this paper briefly describes future directions for the ScaLAPACK library and concludes by suggesting alternative approaches to mathematical libraries, explaining how ScaLAPACK could be integrated into efficient and user-friendly distributed systems.

Original languageEnglish
Title of host publicationApplied Parallel Computing
Subtitle of host publicationComputations in Physics, Chemistry and Engineering Science - 2nd International Workshop, PARA 1995, Proceedings
EditorsJack Dongarra, Kaj Madsen, Jerzy Wasniewśki
PublisherSpringer Verlag
Pages95-106
Number of pages12
ISBN (Print)3540609024, 9783540609025
DOIs
StatePublished - 1996
Event2nd International Workshop on Applied Parallel Computing in Computations in Physics, Chemistry and Engineering Science, PARA 1995 - Lyngby, Denmark
Duration: Aug 21 1995Aug 24 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1041
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Applied Parallel Computing in Computations in Physics, Chemistry and Engineering Science, PARA 1995
Country/TerritoryDenmark
CityLyngby
Period08/21/9508/24/95

Funding

This work was supported in part by the National Science Foundation Grant No. ASC-9005933; by the Defense Advanced Research Projects Agency under contract DAAL03-91-C-0047, administered by the Army Research Office; by the Office of Scientific Computing, U.S. Department of Energy, under Contract DE-AC05-84OR21400; and by the National Science Foundation Science and Technology Center Cooperative Agreement No. CCR-8809615.

FundersFunder number
Office of Scientific Computing
National Science FoundationASC-9005933
U.S. Department of EnergyDE-AC05-84OR21400
Army Research Office
Defense Advanced Research Projects AgencyDAAL03-91-C-0047
BioXFEL Science and Technology CenterCCR-8809615

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