Greetings, readers! Now that Amazon has disabled its popular ebook lending feature, we're more committed than ever to helping you find the best ways to borrow FREE or save big on the Kindle books that you want to read. Kindle Unlimited and Amazon Prime Reading offer members free reading access to over 1 million titles, including Kindle books, magazines, and audiobooks. Beginning soon, each day in this space we will feature "Today's FREEbies and Top Deals for Our Favorite Readers" to share top 5-star titles that are available for KU and Prime members to read FREE, plus a link to a 30-day FREE trial for Kindle Unlimited!

Lendle

Lendle is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. As an Amazon Associates participant, we earn small amounts from qualifying purchases on the Amazon sites.

Apart from its participation in the Associates Program, Lendle is not affiliated with Amazon or Kindle in any other way. Amazon, Kindle and the Amazon and Kindle logos are trademarks of Amazon.com, Inc. or its affiliates. Certain content that appears on this website is provided by Amazon Services LLC. This content is provided "as is" and is subject to change or removal at any time. Lendle is published independently by Stephen Windwalker and Windwalker Media and is not endorsed by Amazon.com, Inc.

Programming Massively Parallel P... - David B. Kirk

Programming Massively Parallel Processors: A Hands-on Approach

David B. Kirk
Amazon Digital Services LLC , English
23 ratings
Buy Now at Amazon

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 moreIncreased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelismTwo new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Genres for this book