Advances in Languages and Compilers for Parallel Processing

Overview

These twenty-three contributions represent some of the best research on software for parallel computers being done in universities and industry today.

Advances in Languages and Compilers for Parallel Processing discusses languages and language extensions, presents two innovative environments for parallel programming, describes techniques for debugging parallel programs, and takes up the important issue of data organization and management during parallel processing. New compiler ...

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Overview

These twenty-three contributions represent some of the best research on software for parallel computers being done in universities and industry today.

Advances in Languages and Compilers for Parallel Processing discusses languages and language extensions, presents two innovative environments for parallel programming, describes techniques for debugging parallel programs, and takes up the important issue of data organization and management during parallel processing. New compiler techniques for parallelizing loops are covered as are new results in code scheduling and new approaches to dependency analysis and representation. The book concludes with an interesting insight into the measurement of parallelism implicit in ordinary programs and methods for dealing with programming and compiling for distributed and shared memory multiprocessors.

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Editorial Reviews

Booknews
Revised versions of 23 papers presented at a workshop in Irvine, California, in August 1990, report recent industrial and academic research on software for parallel computers. They consider languages and language extensions, environments, debugging, and data organization and management. No index. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Meet the Author

Alexandru Nicolau is an Associate Professor at the University of California, Irvine.

David Gelernter is Professor of Computer Science at Yale University.

Thomas Gross is a faculty member in the Department of Computer Science at Carnegie Mellon University.

David Padua is Associate Director of the Center for Supercomputing Research and Development at the University of Illinois, Urbana.

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