Date of Award

Spring 5-2010

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computing

Committee Chair

Dr. Benjamin Seyfarth

Committee Chair Department

Computing

Committee Member 2

Dr. Arlene Perkins

Committee Member 2 Department

Computing

Committee Member 3

Dr. Andrew Strezoff

Committee Member 3 Department

Computing

Committee Member 4

Dr. Zheng Sun

Committee Member 4 Department

Computing

Abstract

Most programs can be parallelized to some extent. The processing power available in computers today makes parallel computing more desirable and attainable than ever before. Many machines today have multiple processors or multiple processing cores making parallel computing more available locally, as well as over a network. In order for parallel applications to be written, they require a computing language, such as C++, and a coordination language (or library), such as Linda. This research involves the creation and implementation of a coordination framework, Guppie, which is easy to use, similar to Linda, but provides more efficiency when dealing with large amounts of messages and data. Greater efficiency can be achieved in coarse-grained parallel computing through the use of shared memory managed through a master-worker relationship.

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