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

by Kate Gregory, Ade Miller
     
 

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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

Overview

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

Product Details

ISBN-13:
9780735664739
Publisher:
Microsoft Press
Publication date:
10/03/2012
Pages:
358
Product dimensions:
8.80(w) x 7.40(h) x 0.80(d)

Meet 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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