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C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++®

C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++®

C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++®
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C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++® Paperback - 2012

by Gregory, Kate; Miller, Ade

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Microsoft Press, 2012-10-05. Paperback. New. In shrink wrap. Looks like an interesting title!
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Details

  • Title C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++®
  • Author Gregory, Kate; Miller, Ade
  • Binding Paperback
  • Condition New
  • Pages 326
  • Volumes 1
  • Language ENG
  • Publisher Microsoft Press
  • Publication date 2012-10-05
  • Illustrated Yes
  • Bookseller's Inventory # Q-0735664730
  • ISBN 9780735664739 / 0735664730
  • Weight 1.31 lbs (0.59 kg)
  • Dimensions 9.05 x 7.45 x 0.88 in (22.99 x 18.92 x 2.24 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects C++ (Computer program language), Microsoft .NET Framework
  • Library of Congress Catalogue Number 2012538000
  • Dewey Decimal Code 005.133
  • Quantity available 1

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Reader reviews for C++ AMP: Accelerated Massive Parallelism with Microsoft® Visual C++®

From the publisher

Capitalize on the faster GPU processors in today's computers with the C++ AMP code library--and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing this technology in your applications.

Discover how to:

  • Gain greater code performance using graphics processing units (GPUs)
  • Choose accelerators that enable you to write code for GPUs
  • Apply thread tiles, tile barriers, and tile static memory
  • Debug C++ AMP code with Microsoft Visual Studio
  • Use profiling tools to track the performance of your code

About the author

Ade Miller is currently a Principal Software Architect at Microsoft Studios. He has had several roles at Microsoft including; working on big data platforms as Program Manager with the Windows HPC Server team and managing the patterns & practices group's agile engineering teams as their Development Lead. His primary interests are parallel and distributed computing and improving the way teams deliver software through engineering leadership.

He is one of the authors of Parallel Programming with Microsoft .NET and Parallel Programming with Microsoft Visual C++. Ade also writes and speaks about parallel computing and his experiences with agile software development at Microsoft and elsewhere.

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