High Performance Compilers for Parallel Computing

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Addison-Wesley, 1996 - Computers - 570 pages
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This work covers everything necessary to build a competitive, advanced compiler for parallel or high-performance computers. It starts with a review of basic terms and algorithms such as graphs, trees and matrix algebra. Methods focus on analysis and synthesis, where analysis extracts information from the source program. The various restrictions and problems caused by different languages commonly used in such machines are shown.

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Contents

fflGH PERFORMANCE SYSTEMS
1
PROGRAMMING LANGUAGE FEATURES
31
BASIC GRAPH CONCEPTS
49
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About the author (1996)

As co-founder in 1979 of Kuck and Associates, Inc., Michael Wolfe helped develop KAP restructuring, parallelizing compiler software. In 1988, Wolfe joined the Oregon Graduate Institute of Science and Technology faculty, directing research on language and compiler issues for high performance computer systems. His current research includes development and implementation of program restructuring transformations to optimize programs for execution on parallel computers, refinement and application of recent results in analysis techniques to low level compiler optimizations, and analysis of data dependence decision algorithms.



0805327304AB04062001

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