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Practical Parallel Programming

By: Wilson, Gregory VMaterial type: Text

TextPublication details: New Delhi : Prentice-Hall, 2002Edition: 1stDescription: viii, 564pISBN: 9780262231862; 9788120313606 ; 8120313607Subject(s): Parallel programming (Computer science)DDC classification: 005.1

Contents:

1. Introduction -- 2. Fundamentals -- 3. Data Parallelism -- 4. Shared Variables -- 5. Message Passing -- 6. Generative Communication -- A The FORTRAN-K Programming Language -- B A Short History Lesson -- C Recommended Reading -- D Glossary -- E A Little Bit of Sarcasm.

Summary: Practical Parallel Programming provides scientists and engineers with a detailed, informative, and often critical introduction to parallel programming techniques. Following a review of the fundamentals of parallel computer theory and architecture, it describes four of the most popular parallel programming models in use today - data parallelism, shared variables, message passing, and Linda - and shows how each can be used to solve various scientific and numerical problems. Examples, coded in various dialects of Fortran, are drawn from such domains as the solution of partial differential equations, the solution of linear equations, the simulation of cellular automata, studies of rock fracturing, and image processing. Practical Parallel Programming will be particularly helpful for scientists and engineers who use high-performance computers to solve numerical problems and do physical simulations but who have little experience with networking or concurrency. The book can also be used by advanced undergraduate and graduate students in computer science in conjunction with sources covering parallel architectures and algorithms in more detail. Computer science students will gain a critical appraisal of the current state of the art in parallel programming. The language used in the book, Fortran-K, is a subset of Fortran-90. It is described in an appendix and a compiler, for it is freely available from the MIT Press ftp site

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	005.1 WIL (Browse shelf(Opens below))	Available		012443
Reference Books	Main Library Reference	Reference	005.1 WIL (Browse shelf(Opens below))	Available		008256

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Previous	005.1 VAZ Approximation algorithms	005.1 WES Instant notes in Bioinformatics	005.1 WIL Parallel programming : techniques and applications using networked workstations and parallel computers	005.1 WIL Practical Parallel Programming	005.1 WIR Algorithms + data structures = programs	005.11 CHA Programming techniques and practice /	005.112 BIT Use case modeling	Next

1. Introduction --
2. Fundamentals --
3. Data Parallelism --
4. Shared Variables --
5. Message Passing --
6. Generative Communication --
A The FORTRAN-K Programming Language --
B A Short History Lesson --
C Recommended Reading --
D Glossary --
E A Little Bit of Sarcasm.

Practical Parallel Programming provides scientists and engineers with a detailed, informative, and often critical introduction to parallel programming techniques. Following a review of the fundamentals of parallel computer theory and architecture, it describes four of the most popular parallel programming models in use today - data parallelism, shared variables, message passing, and Linda - and shows how each can be used to solve various scientific and numerical problems. Examples, coded in various dialects of Fortran, are drawn from such domains as the solution of partial differential equations, the solution of linear equations, the simulation of cellular automata, studies of rock fracturing, and image processing. Practical Parallel Programming will be particularly helpful for scientists and engineers who use high-performance computers to solve numerical problems and do physical simulations but who have little experience with networking or concurrency. The book can also be used by advanced undergraduate and graduate students in computer science in conjunction with sources covering parallel architectures and algorithms in more detail. Computer science students will gain a critical appraisal of the current state of the art in parallel programming. The language used in the book, Fortran-K, is a subset of Fortran-90. It is described in an appendix and a compiler, for it is freely available from the MIT Press ftp site

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