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 language | English |
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Title of host publication | Applied Parallel Computing |
Subtitle of host publication | Computations in Physics, Chemistry and Engineering Science - 2nd International Workshop, PARA 1995, Proceedings |
Editors | Jack Dongarra, Kaj Madsen, Jerzy Wasniewśki |
Publisher | Springer Verlag |
Pages | 95-106 |
Number of pages | 12 |
ISBN (Print) | 3540609024, 9783540609025 |
DOIs | |
State | Published - 1996 |
Event | 2nd International Workshop on Applied Parallel Computing in Computations in Physics, Chemistry and Engineering Science, PARA 1995 - Lyngby, Denmark Duration: Aug 21 1995 → Aug 24 1995 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1041 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 2nd International Workshop on Applied Parallel Computing in Computations in Physics, Chemistry and Engineering Science, PARA 1995 |
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Country/Territory | Denmark |
City | Lyngby |
Period | 08/21/95 → 08/24/95 |
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.