Programming Massively Parallel Processors, Second Edition: A Hands-on Approach
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Get and download textbook Programming Massively Parallel Processors, Second Edition: A Hands-on Approach for free
"ISBN 0124159923; 100% Brand NEW; David B. Kirk, Wen-mei W. Hwu Morgan Kaufmann; Programming Massively Parallel Processors: A Hands-on Approach, 2nd Edition"
Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. With these improvements, the book reta Programming Massively Parallel Processors, Second Edition new edition
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author david b kirk author wen mei w hwu format paperback language english publication year 20 12 2012 subject computing it subject 2 computing textbooks study guides goddings limited presents programming massively parallel processors second edition a hands on approach isbn 0124159923 author kirk david b hwu wen mei w publisher morgan kaufmann date 2012 12 28 seller sku gard 0124159921 qty available 1 format paperback condition new notes brand new book will ship 1 st class to the uk or airmail w
"ISBN 9780124159921; 100% Brand NEW; David B. Kirk, Wen-mei W. Hwu Morgan Kaufmann; Programming Massively Parallel Processors: A Hands-on Approach, 2nd Edition"
Programming Massively Parallel Processors, Second Edition Textbook
Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools
arious techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. With these improvements, the book reta
