The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A data locality optimizing algorithm
Open accessAbstract
This paper proposes an algorithm that improves the locality of a loop nest by transforming the code via interchange, reversal, skewing and tiling.The loop transformation rrlgorithm is based on two concepts: a mathematical formulation of reuse and locality, and a loop transformation theory that unifies the various transforms as unimodular matrix tmnsfonnations.The algorithm haa been implemented in the SUIF (Stanford University Intermediate Format) compiler, and is successful in optimizing codes such as matrix multiplication, successive over-relaxation (SOR), LU decomposition without pivoting, and Givens QR factorization.Performance evaluation indicates that locatity optimization is especially crucial for scaling up the performance of parallel code.
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Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Cited by
SPIRAL: Code Generation for DSP Transforms
Puschel, M., Moura, J. M. F., Johnson, J. R., Padua, D., Veloso, M. M., Singer, B. W., Xiong, J., Franchetti, F., Gacic, A., Voronenko, Y., et al. (2005) · Proceedings of the IEEE · doi:10.1109/jproc.2004.840306 · Cited by 826
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Dao, T., Fu, D. Y., Ermon, S., Rudra, A., & Ré, C. (2022) · arXiv · doi:10.48550/arxiv.2205.14135 · Cited by 1,214
“…this work [1], but concepts of memory hierarchies are fundamental and has appeared in many forms, from the working set model [23], to data locality [90], to the Roofline model of arithmetic intensity [89], to analyses of scalability [61], to standard textbook treatments of computer architecture…”
A practical automatic polyhedral parallelizer and locality optimizer
Bondhugula, U., Hartono, A., Ramanujam, J., & Sadayappan, P. (2008) · ACM SIGPLAN Notices · doi:10.1145/1379022.1375595 · Cited by 248
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
Improving the ratio of memory operations to floating-point operations in loops
Carr, S., & Kennedy, K. (1994) · ACM Transactions on Programming Languages and Systems · doi:10.1145/197320.197366 · Cited by 155
Metadata
- Authors
- Wolf, M. E., & Lam, M. S.
- Venue
- Proceedings of the ACM SIGPLAN 1991 conference on Programming language design and implementation - PLDI '91
- Publisher
- ACM Press
- Published
- 1991
- Pages
- 30-44
- ISSN
- 1531-7102 (ISSN-L)
- OpenAlex
- W2119609467
- Cited by
- 1,331
- References
- 1
- FWCI
- 21.22
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A data locality optimizing algorithm. https://app.cochat.ai/papers/10.1145/113445.113449
- The paper
- Wolf, M. E., & Lam, M. S. (1991). A data locality optimizing algorithm. Proceedings of the ACM SIGPLAN 1991 conference on Programming language design and implementation - PLDI '91. https://doi.org/10.1145/113445.113449
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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.
