Self-adapting software for numerical linear algebra and LAPACK for clusters

Zizhong Chen, Jack Dongarra, Piotr Luszczek, Kenneth Roche

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

This article describes the context, design, and recent development of the LAPACK for clusters (LFC) project. It has been developed in the framework of Self-Adapting Numerical Software (SANS) since we believe such an approach can deliver the convenience and ease of use of existing sequential environments bundled with the power and versatility of highly tuned parallel codes that execute on clusters. Accomplishing this task is far from trivial as we argue in the paper by presenting pertinent case studies and possible usage scenarios.

Original languageEnglish
Pages (from-to)1723-1743
Number of pages21
JournalParallel Computing
Volume29
Issue number11-12 SPEC.ISS.
DOIs
StatePublished - Nov 2003
Externally publishedYes

Funding

This research was sponsored by NSF through the NPACI, and DOE through the LACSI.

FundersFunder number
LACSI
NPACI
National Science Foundation
U.S. Department of Energy

    Keywords

    • High performance computing
    • LAPACK
    • Linear algebra
    • Numerical parallel libraries
    • PBLAS
    • ScaLAPACK
    • Self-adapting software

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