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9783330054417: Parallelizing Compilers for Recursive Functions
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Reseña del editor:
Parallelizing compilers is one of the most important topics in parallel programming. It is developed to automatically parallelize sequential programs to reduce the burden of programming on parallel computers. At start it concentrates on parallelizing loops then it opens its scope to other aspects such as recursive functions. Consequently, new parallelizing compilers are proposed to automatically parallelize recursive functions in order to be executed efficiently on different parallel systems such as distributed memory massively parallel multicomputers and multiprocessors. A special concern has been for applications of divide-and-conquer algorithms. New algorithms for dependence analysis, partitioning, scheduling, and generating SPMD message passing program are introduced. Also new virtual topologies are proposed. Different types of recursive functions have been examined using variety of parallel machines. Ultimate performance measurements are used aiming at reaching optimality.
Biografía del autor:
Naglaa M. Reda is currently a lecturer of Computer Science. She has received her MS.c. and PhD from Faculty of Science, University of Ain Shams, Cairo, Egypt. She has published papers in international referred journals and conferences. Her research interests focus on parallel algorithms, distributed computing systems and bioinformatics.

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  • EditorialLAP LAMBERT Academic Publishing
  • Año de publicación2017
  • ISBN 10 3330054417
  • ISBN 13 9783330054417
  • EncuadernaciónTapa blanda
  • Número de páginas164

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Naglaa M. Reda
ISBN 10: 3330054417 ISBN 13: 9783330054417
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Descripción Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Parallelizing compilers is one of the most important topics in parallel programming. It is developed to automatically parallelize sequential programs to reduce the burden of programming on parallel computers. At start it concentrates on parallelizing loops then it opens its scope to other aspects such as recursive functions. Consequently, new parallelizing compilers are proposed to automatically parallelize recursive functions in order to be executed efficiently on different parallel systems such as distributed memory massively parallel multicomputers and multiprocessors. A special concern has been for applications of divide-and-conquer algorithms. New algorithms for dependence analysis, partitioning, scheduling, and generating SPMD message passing program are introduced. Also new virtual topologies are proposed. Different types of recursive functions have been examined using variety of parallel machines. Ultimate performance measurements are used aiming at reaching optimality. 164 pp. Englisch. Nº de ref. del artículo: 9783330054417

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Naglaa M. Reda
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Descripción Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Parallelizing compilers is one of the most important topics in parallel programming. It is developed to automatically parallelize sequential programs to reduce the burden of programming on parallel computers. At start it concentrates on parallelizing loops then it opens its scope to other aspects such as recursive functions. Consequently, new parallelizing compilers are proposed to automatically parallelize recursive functions in order to be executed efficiently on different parallel systems such as distributed memory massively parallel multicomputers and multiprocessors. A special concern has been for applications of divide-and-conquer algorithms. New algorithms for dependence analysis, partitioning, scheduling, and generating SPMD message passing program are introduced. Also new virtual topologies are proposed. Different types of recursive functions have been examined using variety of parallel machines. Ultimate performance measurements are used aiming at reaching optimality. Nº de ref. del artículo: 9783330054417

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Descripción Paperback. Condición: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock. Nº de ref. del artículo: zk3330054417

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