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- Publisher
- Association for Computing Machinery
- Copyright
- Copyright © 1988 by ACM Inc.
- ISSN
- 1050-916X
- DOI
- 10.1145/62197.62209
- Publisher site
- See Article on Publisher Site
Abstract
It has been shown that parallelism is a very promising alternative for enhancing computer performance. Parallelism, however, introduces much complexity to the programming effort. This has lead to the development of automatic concurrency extraction techniques. Prior work has demonstrated that static program restructuring via compiler based techniques provides a large degree of parallelism to the target machine. Purely hardware based extraction techniques (without software preprocessing) have also demonstrated significant (but lesser) degrees of parallelism. This paper considers the performance effects of the combination of both hardware and software techniques. The concurrency extracted from a given set of benchmarks by each technique separately, and together, is determined via simulations and or analysis. The "common parallelism" extracted by the two methods is thus also considered, using new metrics. The analytic techniques for predicting the performance of specific programs are also described.
Journal
ACM SIGMICRO Newsletter – Association for Computing Machinery
Published: Jun 1, 1988