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Parallelizing programs with recursive data structures
Abstract
A study is made of the problem of estimating interference in an imperative language with dynamic data structures. The authors focus on developing efficient and implementable methods for recursive data structures. In particular, they present interference analysis tools and parallelization techniques for imperative programs that contain dynamically updatable trees and directed acyclic graphs. The analysis methods are based on a regular-expression-like representation of the relationship between accessible nodes in the data structure. They authors have implemented their analysis, and they present some concrete examples that have been processed by this system.>
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Cited by
Analysis of pointers and structures
Chase, D. R., Wegman, M., & Zadeck, F. K. (1990) · Proceedings of the ACM SIGPLAN 1990 conference on Programming language design and implementation - PLDI '90 · doi:10.1145/93542.93585 · Cited by 303
Automatic parallelization of divide and conquer algorithms
Rugina, R., & Rinard, M. (1999) · Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming · doi:10.1145/301104.301111 · Cited by 103
Automatic Parallelization of Recursive Procedures
Gupta, M., Mukhopadhyay, S., & Sinha, N. (2000) · International Journal of Parallel Programming · doi:10.1023/a:1007560600904 · Cited by 44
Metadata
- Authors
- Hendren, L. J., & Nicolau, A.
- Venue
- IEEE Transactions on Parallel and Distributed Systems
- Published
- 1990
- Volume
- 1
- Issue
- 1
- Pages
- 35-47
- ISSN
- 1045-9219 (ISSN-L)
- OpenAlex
- W237536699
- Cited by
- 219
- References
- 0
- FWCI
- 13.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hendren, L. J., & Nicolau, A. (1990). Parallelizing programs with recursive data structures. IEEE Transactions on Parallel and Distributed Systems. https://doi.org/10.1109/71.80123
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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).
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