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Programming Massively Parallel Processors: A Hands-on Approach
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Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.
Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth.
For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices.
Product details
Paperback: 576 pages
Publisher: Morgan Kaufmann; 3 edition (December 21, 2016)
Language: English
ISBN-10: 0128119861
ISBN-13: 978-0128119860
Product Dimensions:
7.5 x 1.2 x 9.2 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review:
4.7 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#336,673 in Books (See Top 100 in Books)
The new edition of the book is improved significantly related to the already superb previous edition.The technical writing and presentation is outstanding and a lot of CUDA programming examples are presented.Also, it covers thoroughly the recent advances in CUDA technology as the dynamic parallelism.I strongly recommend the book to the Amazon readers interested in GPU computing.
Thorough coverage of the hardware, data structures, and algorithms you need to effectively use Nvidia GPU devices. Missed one star, because the code examples are incomplete: kernels for GPU execution are well documented, but the host code is missing, so outside resources (books, websites, etc.) are required to write compilable programs. Please, open your source code!
This book is a lot better than others I have read.
Excellent product.
Only CUDA programming book that contains Pascal Arch. right now.
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