The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
PetaBricks: a language and compiler for algorithmic choice
Abstract
It is often impossible to obtain a one-size-fits-all solution for high performance algorithms when considering different choices for data distributions, parallelism, transformations, and blocking. The best solution to these choices is often tightly coupled to different architectures, problem sizes, data, and available system resources. In some cases, completely different algorithms may provide the best performance. Current compiler and programming language techniques are able to change some of these parameters, but today there is no simple way for the programmer to express or the compiler to choose different algorithms to handle different parts of the data. Existing solutions normally can handle only coarse-grained, library level selections or hand coded cutoffs between base cases and recursive cases.
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Citations
Cites
The Design and Implementation of FFTW3
Frigo, M., & Johnson, S. G. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2004.840301 · Cited by 5,086
Williams, S., Waterman, A., & Patterson, D. A. (2009) · Communications of the ACM · doi:10.1145/1498765.1498785 · Cited by 2,798
OSKI: A library of automatically tuned sparse matrix kernels
Vuduc, R., Demmel, J. W., & Yelick, K. A. (2005) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/16/1/071 · Cited by 490
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(2013) · doi:10.1145/2491956.2462176 · Cited by 885
Ragan-Kelley, J., Barnes, C., Adams, A., Paris, S., Durand, F., & Amarasinghe, S. (2013) · ACM SIGPLAN Notices · doi:10.1145/2499370.2462176 · Cited by 513
Self-citationAlgorithm Selection for Combinatorial Search Problems: A Survey
Kotthoff, L. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-50137-6_7 · Cited by 270
Control Theory for Model-based Performance-driven Software Adaptation
Arcelli, D., Cortellessa, V., Filieri, A., & Leva, A. (2015) · Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures · doi:10.1145/2737182.2737187 · Cited by 23
Metadata
- Authors
- Ansel, J., Chan, C., Wong, Y. L., Olszewski, M., Zhao, Q., Edelman, A., & Amarasinghe, S.
- Venue
- Proceedings of the 30th ACM SIGPLAN Conference on Programming Language Design and Implementation
- Publisher
- ACM
- Published
- 2009-06-15
- Pages
- 38-49
- ISSN
- 1531-7102 (ISSN-L)
- OpenAlex
- W2000873501
- Cited by
- 355
- References
- 3
- FWCI
- 17.78
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ansel, J., Chan, C., Wong, Y. L., Olszewski, M., Zhao, Q., Edelman, A., & Amarasinghe, S. (2009). PetaBricks: a language and compiler for algorithmic choice. Proceedings of the 30th ACM SIGPLAN Conference on Programming Language Design and Implementation. https://doi.org/10.1145/1542476.1542481
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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.
