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Automatically Tuned Linear Algebra Software
Abstract
This paper describes an approach for the automatic generation and optimization of numerical software for processors with deep memory hierarchies and pipelined functional units. The production of such software for machines ranging from desktop workstations to embedded processors can be a tedious and time consuming process. The work described here can help in automating much of this process. We will concentrate our efforts on the widely used linear algebra kernels called the Basic Linear Algebra Subroutines (BLAS). In particular, the work presented here is for general matrix multiply, DGEMM. However much of the technology and approach developed here can be applied to the other Level 3 BLAS and the general strategy can have an impact on basic linear algebra operations in general and may be extended to other important kernel operations.
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Citations
Cited by
(2006) · Cited by 1,979
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-citationGPUs and the Future of Parallel Computing
Keckler, S. W., Dally, W. J., Khailany, B., Garland, M., & Glasco, D. (2011) · IEEE Micro · doi:10.1109/mm.2011.89 · Cited by 658
Fast SVM training algorithm with decomposition on very large data sets
Dong, J.-X., Krzyzak, A., & Suen, C. Y. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.77 · Cited by 230
Self-Adapting Linear Algebra Algorithms and Software
Demmel, J., Dongarra, J., Eijkhout, V., Fuentes, E., Petitet, A., Vuduc, R., Whaley, R. C., & Yelick, K. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2004.840848 · Cited by 204
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Metadata
- Authors
- Whaley, R. C., & Dongarra, J. J.
- Venue
- Proceedings of the IEEE/ACM SC98 Conference
- Publisher
- IEEE
- Published
- 1998
- Pages
- 38-38
- OpenAlex
- W2548341626
- Cited by
- 527
- References
- 0
- FWCI
- 8.92
- Type
- conference paper
- Language
- en
- Open access
- closed
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