The Design and Implementation of SOLAR, a Portable Library for Scalable Out-of-Core Linear Algebra Computations (1996)
Cached
Download Links
- [www.math.tau.ac.il]
- [www.cs.tau.ac.il]
- [www.tau.ac.il]
- [www.math.tau.ac.il]
- DBLP
Other Repositories/Bibliography
| Venue: | WORKSHOP ON I/O IN PARALLEL AND DISTRIBUTED SYSTEMS |
| Citations: | 61 - 4 self |
BibTeX
@INPROCEEDINGS{Toledo96thedesign,
author = {Sivan Toledo and Fred G. Gustavson},
title = {The Design and Implementation of SOLAR, a Portable Library for Scalable Out-of-Core Linear Algebra Computations},
booktitle = {WORKSHOP ON I/O IN PARALLEL AND DISTRIBUTED SYSTEMS},
year = {1996},
pages = {28--40},
publisher = {ACM}
}
OpenURL
Abstract
SOLAR is a portable high-performance library for out-of-core dense matrix computations. It combines portability with high performance by using existing high-performance in-core subroutine libraries and by using an optimized matrix input-output library. SOLAR works on parallel computers, workstations, and personal computers. It supports in-core computations on both shared-memory and distributed-memory machines, and its matrix input-output library supports both conventional I/O interfaces and parallel I/O interfaces. This paper discusses the overall design of SOLAR, its interfaces, and the design of several important subroutines. Experimental results show that SOLAR can factor on a single workstation an out-of-core positive-definite symmetric matrix at a rate exceeding 215 Mflops, and an out-of-core general matrix at a rate exceeding 195 Mflops. Less than 16 % of the running time is spent on I/O in these computations. These results indicate that SOLAR's portability does not compromise its performance. We expect that the combination of portability, modularity, and the use of a high-level I/O interface will make the library an important platform for research on out-of-core algorithms and on parallel I/O.







