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High Performance Compilers for Parallel Computing

High Performance Compilers for Parallel Computing - 96 edition

High Performance Compilers for Parallel Computing - 96 edition

ISBN13: 9780805327304

ISBN10: 0805327304

High Performance Compilers for Parallel Computing by Michael Wolfe - ISBN 9780805327304
Cover type: Hardback
Edition: 96
Copyright: 1996
Publisher: Addison-Wesley Longman, Inc.
Published:
International: No
High Performance Compilers for Parallel Computing by Michael Wolfe - ISBN 9780805327304

ISBN13: 9780805327304

ISBN10: 0805327304

Cover type: Hardback
Edition: 96
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Summary

By the author of the classic 1989 monograph, Optimizing Supercompilers for Supercomputers, this book covers the knowledge and skills necessary to build a competitive, advanced compiler for parallel or high-performance computers. Starting with a review of basic terms and algorithms used-such as graphs, trees, and matrix algebra-Wolfe shares the lessons of his 20 years experience developing compiler products such as KAP, the capstone product of Kuck and Associates, Inc., of Champaign, Illinois.

Author Bio

Wolfe, Michael : Oregon Graduate Institute of Science and Technology

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.


Table of Contents

Table of Contents

High Performance.
Programming Language Features.
Basic Graph Concepts.
Review of Linear Algebra.
Data Dependence.
Scalar Analysis with Factored USE-DEF Chains.
Data Dependence Analysis for Arrays.
Other Dependence Analysis for Arrays.
Other Dependence Problems.
Loop Restructuring.
Optimizing for Locality.
Concurrency Analysis.
Vector Analysis.
Message-passing machines.
Scalable Share-Memory machines.


Glossary.
References.
Author Index.
Index.