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Maximizing multiprocessor performance with the SUIF compiler
Abstract
This article describes automatic parallelization techniques in the SUIF (Stanford University Intermediate Format) compiler that result in good multiprocessor performance for array-based numerical programs. Parallelizing compilers for multiprocessors face many hurdles. However, SUIF's robust analysis and memory optimization techniques enabled speedups on three fourths of the NAS and SPECfp95 benchmark programs.
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Cited by
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PaSh: light-touch data-parallel shell processing
Vasilakis, N., Kallas, K., Mamouras, K., Benetopoulos, A., & Cvetković, L. (2021) · Proceedings of the Sixteenth European Conference on Computer Systems · doi:10.1145/3447786.3456228 · Cited by 17
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Metadata
- Authors
- Hall, M. W., Anderson, J. M., Amarasinghe, S. P., Murphy, B. R., Liao, S.-W., Bugnion, E., & Lam, M. S.
- Venue
- Computer
- Published
- 1996-12
- Volume
- 29
- Issue
- 12
- Pages
- 84-89
- ISSN
- 0018-9162 (ISSN-L)
- 1558-0814
- OpenAlex
- W262467192
- Cited by
- 572
- References
- 0
- FWCI
- 46.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Maximizing multiprocessor performance with the SUIF compiler. https://app.cochat.ai/papers/10.1109/2.546613
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- Hall, M. W., Anderson, J. M., Amarasinghe, S. P., Murphy, B. R., Liao, S.-W., Bugnion, E., & Lam, M. S. (1996). Maximizing multiprocessor performance with the SUIF compiler. Computer. https://doi.org/10.1109/2.546613
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