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An extended set of FORTRAN basic linear algebra subprograms
Open accessAbstract
This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extensions are targeted at matrix-vector operations that should provide for efficient and portable implementations of algorithms for high-performance computers.
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Citations
Cited by
Automated empirical optimizations of software and the ATLAS project
Clint Whaley, R., Petitet, A., & Dongarra, J. J. (2001) · Parallel Computing · doi:10.1016/s0167-8191(00)00087-9 · Cited by 1,317
Self-citationAutomatically Tuned Linear Algebra Software
Whaley, R. C., & Dongarra, J. J. (1998) · Conference on High Performance Computing (Supercomputing) · doi:10.5555/509058.509096 · Cited by 854
Self-citationThe LINPACK Benchmark: past, present and future
Dongarra, J. J., Luszczek, P., & Petitet, A. (2003) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.728 · Cited by 813
Self-citationTurbsim User's Guide: Version 1.50
Jonkman, B. J. (2009) · doi:10.2172/965520 · Cited by 746
Linear algebra operators for GPU implementation of numerical algorithms
Krüger, J., & Westermann, R. (2003) · ACM Transactions on Graphics · doi:10.1145/882262.882363 · Cited by 380
Metadata
- Authors
- Dongarra, J. J., Du Croz, J., Hammarling, S., & Hanson, R. J.
- Venue
- ACM Transactions on Mathematical Software
- Published
- 1988-03
- Volume
- 14
- Issue
- 1
- Pages
- 1-17
- ISSN
- 0098-3500 (ISSN-L)
- 1557-7295
- OpenAlex
- W2038469228
- Cited by
- 887
- References
- 0
- FWCI
- 38.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: An extended set of FORTRAN basic linear algebra subprograms. https://app.cochat.ai/papers/10.1145/42288.42291
- The paper
- Dongarra, J. J., Du Croz, J., Hammarling, S., & Hanson, R. J. (1988). An extended set of FORTRAN basic linear algebra subprograms. ACM Transactions on Mathematical Software. https://doi.org/10.1145/42288.42291
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.