CRPC Research into linear algebra software for high performance computers

Jaeyoung Choi; Jack J. Dongarra; Roldan Pozo; Danny C. Sorensen; David W. Walker

doi:10.1177/109434209400800203

CRPC Research into linear algebra software for high performance computers

Jaeyoung Choi, Jack J. Dongarra, Roldan Pozo, Danny C. Sorensen, David W. Walker

Computer Science and Mathematics Div

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In this paper we look at a number of approaches being investigated in the Center for Research on Parallel Computation (CRPC) to develop linear algebra soft ware for high-performance computers. These ap proaches are exemplified by the LAPACK, templates, and ARPACK projects. LAPACK is a software library for performing dense and banded linear algebra computa tions, and was designed to run efficiently on high-per formance computers. We focus on the design of the distributed-memory version of LAPACK, and on an ob ject-oriented interface to LAPACK.

Original language	English
Pages (from-to)	99-118
Number of pages	20
Journal	International Journal of High Performance Computing Applications
Volume	8
Issue number	2
DOIs	https://doi.org/10.1177/109434209400800203
State	Published - Jun 1994

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author = "Jaeyoung Choi and Dongarra, {Jack J.} and Roldan Pozo and Sorensen, {Danny C.} and Walker, {David W.}",

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CRPC Research into linear algebra software for high performance computers

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