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

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Microsoft Press, Sep 20, 2012 - Computers - 358 pages

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

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About the author (2012)

Kate Gregory has been using C++ for over twenty years and is well-known as an enthusiastic instructor, speaker, and author. Managing, mentoring, technical writing, and technical speaking occupy much of her time, but she still writes code every week. Kate is the author of over a dozen books and speaks at DevTeach, TechEd (USA, Europe, Africa), and TechDays, among others. Kate is a C++ MVP, a founding sponsor of the Toronto .NET Users Group, the founder of the East of Toronto .NET Users group, and a member of adjunct faculty at Trent University in Peterborough. Since January 2002 she has been Microsoft Regional Director for Toronto and since January 2004 she has been awarded the Microsoft Most Valuable Professional designation for Visual C++. In June 2005 she won the Regional Director of the year award and in February 2011 she was designated Visual C++ MVP of the year for 2010. Her firm, Gregory Consulting Limited, is based in rural Ontario and helps clients adopt new technologies and adjust to the changing business environment.

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.