Symbolic Analysis for Parallelizing Compilers - Mohammad R. Haghighat - Libros - Springer-Verlag New York Inc. - 9781475783179 - 21 de marzo de 2013
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Symbolic Analysis for Parallelizing Compilers Softcover Reprint of the Original 1st Ed. 1995 edition

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In Symbolic Analysis for Parallelizing Compilers the author presents an excellent demonstration of the effectiveness of symbolic analysis in tackling important optimization problems, some of which inhibit loop parallelization. The framework that Haghighat presents has proved extremely successful in induction and wraparound variable analysis, strength reduction, dead code elimination and symbolic constant propagation. The approach can be applied to any program transformation or optimization problem that uses properties and value ranges of program names. Symbolic analysis can be used on any transformational system or optimization problem that relies on compile-time information about program variables. This covers the majority of, if not all optimization and parallelization techniques.
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.


138 pages, 12 black & white illustrations, biography

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 21 de marzo de 2013
ISBN13 9781475783179
Editores Springer-Verlag New York Inc.
Páginas 138
Dimensiones 155 × 235 × 9 mm   ·   240 g
Lengua Inglés  

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