Degree Type

Dissertation

Date of Award

1989

Degree Name

Doctor of Philosophy

Department

Electrical and Computer Engineering

First Advisor

James A. Davis

Abstract

We have developed a scheme to extend the SASL programming language and its run-time system for fine grain parallel processing. The proposed scheme provides a mechanism that can override the original lazy semantics by augmenting proper "eager" information. This information is first annotated in SASL programs and then translated to the combinator control tags by a new set of optimization rules. The effectiveness of this scheme has been evaluated through the simulation of a set of symbolic-oriented programs on an idealized shared-memory system. The results show that a considerable amount of parallelism can be extracted from a wide variety of application programs.

DOI

https://doi.org/10.31274/rtd-180813-9005

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/

Copyright Owner

Pong Ping Chu

Language

en

Proquest ID

AAI9014890

File Format

application/pdf

File Size

130 pages

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