Date of Award

8-1992

Document Type

Thesis (Ph.D.)

Department or Program

Department of Computer Science

First Advisor

Clifford J. Walinsky

Abstract

The success of parallel architectures has been limited by the lack of high-level parallel programming languages and useful programming models. The data-parallel model of programming has been demonstrated to be useful and natural on a wide variet of parallel architectures. This dissertation presents a set of formal techniques for compiling high- level languages based on data-parallelism.

Comments

Originally posted in the Dartmouth College Computer Science Technical Report Series, number PCS-TR92-186.

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