The DOI matches its Crossref record.
Solving Linear Systems on Vector and Shared Memory Computers.
Abstract
Vector and parallel processing overview of current high-performance computers implementation details and overhead performance - analysis, modeling and measurements building blocks in linear algebra direct solution of sparse linear systems iterative solution of sparse linear systems. Appendices: acquiring mathematical software information on various high-performance computers level 1,2, and 3 BLAS quick reference operation counts for various BLAS and decompositions.
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Citations
Cited by
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Performance of various computers using standard linear equations software
Dongarra, J. J. (1992) · ACM SIGARCH Computer Architecture News · doi:10.1145/141868.141871 · Cited by 708
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Deelman, E., Singh, G., Livny, M., Berriman, G. B., & Good, J. (2008) · doi:10.5555/1413370.1413421 · Cited by 580
Metadata
- Authors
- Ortega, J. M., Dongarra, J. J., Duff, I. S., Sorensen, D. C., & van der Vorst, H. A.
- Venue
- Mathematics of Computation
- Publisher
- JSTOR
- Published
- 1992-04
- Volume
- 58
- Issue
- 198
- Pages
- 858
- ISSN
- 0025-5718 (ISSN-L)
- OpenAlex
- W2000250112
- Cited by
- 437
- References
- 0
- FWCI
- 47.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Solving Linear Systems on Vector and Shared Memory Computers. https://app.cochat.ai/papers/10.2307/2153226
- The paper
- Ortega, J. M., Dongarra, J. J., Duff, I. S., Sorensen, D. C., & van der Vorst, H. A. (1992). Solving Linear Systems on Vector and Shared Memory Computers. Mathematics of Computation. https://doi.org/10.2307/2153226
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
