Date of Award

8-1992

Document Type

Thesis (Ph.D.)

Department

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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