Programming Massively Parallel Processors

A Hands-on Approach

Nonfiction, Computers, Advanced Computing, Engineering, Computer Architecture, General Computing, Science & Nature, Technology
Cover of the book Programming Massively Parallel Processors by David B. Kirk, Wen-mei W. Hwu, Elsevier Science
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Author: David B. Kirk, Wen-mei W. Hwu ISBN: 9780123914187
Publisher: Elsevier Science Publication: December 31, 2012
Imprint: Morgan Kaufmann Language: English
Author: David B. Kirk, Wen-mei W. Hwu
ISBN: 9780123914187
Publisher: Elsevier Science
Publication: December 31, 2012
Imprint: Morgan Kaufmann
Language: English

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.

This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing.

This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers.

  • New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more
  • Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism
  • Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.

This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing.

This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers.

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