Parallel processing and parallel algorithms : theory and computation / Seyed H. Roosta

Por: Roosta, Seyed HTipo de material: TextoTextoDetalles de publicación: New York : Springer, 1999 Descripción: XIX, 566 p. ; 24 cmISBN: 978-0-387-98716-3Tema(s): Procesos en paralelo (Informática) | Algoritmos computacionales | Computer algorithms | Programación en paralelo (Informática)Resumen: This book covers the essential elements of parallel processing and parallel algorithms. It is unique in that it is a self-contained book covering everything fundamental of parallel processing from computer architecture to parallel programming and parallel algorithms. It is designed to function as a text for an undergraduate course in parallel processing, but also works well as a comprehensive reference for professionals interested in all phases of parallel processing and parallel programming. CONTENIDO: Computer Architecture. Components of Parallel Computers. Principles of Parallel Programming. Parallel Programmming Approaches. Principles of Parallel Algorithm Design. Parallel Graph Algorithms. Parallel Search Algorithms. General Parallel Algorithms. Data-Flow Computing. Ada Concurrent Programming. Modula Concurrent Programming for Hybrid Architectures. Parallel Processing of AI Systems.
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This book covers the essential elements of parallel processing and parallel algorithms. It is unique in that it is a self-contained book covering everything fundamental of parallel processing from computer architecture to parallel programming and parallel algorithms. It is designed to function as a text for an undergraduate course in parallel processing, but also works well as a comprehensive reference for professionals interested in all phases of parallel processing and parallel programming. CONTENIDO: Computer Architecture. Components of Parallel Computers. Principles of Parallel Programming. Parallel Programmming Approaches. Principles of Parallel Algorithm Design. Parallel Graph Algorithms. Parallel Search Algorithms. General Parallel Algorithms. Data-Flow Computing. Ada Concurrent Programming. Modula Concurrent Programming for Hybrid Architectures. Parallel Processing of AI Systems.

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