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 language | English |
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Pages (from-to) | 1723-1743 |
Number of pages | 21 |
Journal | Parallel Computing |
Volume | 29 |
Issue number | 11-12 SPEC.ISS. |
DOIs | |
State | Published - Nov 2003 |
Externally published | Yes |
Funding
This research was sponsored by NSF through the NPACI, and DOE through the LACSI.
Funders | Funder number |
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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