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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
The book makes a compelling case for the potential of symbolic analysis, applying it for the first time - and with remarkable results - to a number of classical optimization problems: loop scheduling, static timing or size analysis, and dependence analysis. It demonstrates how symbolic analysis can solve these problems faster and more accurately than existing hybrid techniques.
Authors and Affiliations
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Center for Supercomputing Research and Development, University of Illinois at Urbana-Champaign, Urbana, USA
Mohammad R. Haghighat
Bibliographic Information
Book Title: Symbolic Analysis for Parallelizing Compilers
Authors: Mohammad R. Haghighat
DOI: https://doi.org/10.1007/b102246
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1995
Hardcover ISBN: 978-0-7923-9623-9Published: 30 September 1995
Softcover ISBN: 978-1-4757-8317-9Published: 21 March 2013
eBook ISBN: 978-0-585-26829-3Published: 19 August 2007
Edition Number: 1
Number of Pages: XXIV, 138