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Structured Parallel Programming Patterns for Efficient Computation

ISBN-10: 0124159931
ISBN-13: 9780124159938
Edition: 2012
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Description: Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing  More...

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Book details

List price: $59.95
Copyright year: 2012
Publisher: Elsevier Science & Technology Books
Publication date: 6/25/2012
Binding: Paperback
Pages: 432
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 1.430
Language: English

Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming modelsDevelops a composable, structured, scalable, and machine-independent approach to parallel computingIncludes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Michael McCool has research and application experience in the areas of data mining, computer graphics (specifically sampling, rasterization, texture hardware, antialiasing,shading, illumination, and visualization), medical imaging, signal and image processing, financial analysis,and languages and programming platforms for high productivity parallel computing. In order to commercialize research work into many-core computing platforms done while he was a professor at the University of Waterloo,in 2004 he co-founded RapidMind, which in 2009 was acquired by Intel. Currently he is a Software Architect with Intel working on Array Building Blocks and an Adjunct Associate Professor with the University of Waterloo. In addition to his university teaching, he has presented tutorials at Eurographics, SIGGRAPH, and SC on graphics and/or parallel computing.

James Reinders is involved in multiple engineering, research and educational efforts to increase use of parallel programming throughout the industry. James has contributed to numerous projects including the world's first TeraFLOP/s supercomputer (ASCI Red) and the world's first TeraFLOP/s microprocessor (Intel� Xeon PhiT coprocessor). James has authored numerous technical books, including three other books currently in print: Structured Parallel Programming (Morgan Kaufmann, 2012), Intel� Xeon PhiT Coprocessor High Performance Programming (Morgan Kaufmann, 2013), and Multithreading for Visual Effects (2014).

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