OpenACC for Programmers : Concepts and Strategies Paperback
The Complete, NVIDIA-Authorized Guide to OpenACC with Massively Parallel Programming Scientists and technical professionals can use OpenACC to leverage the immense power of modern GPUs without the complexity traditionally associated with programming them.
Sponsored by NVIDIA, OpenACC for Programmers is the first comprehensive and practical overview of OpenACC massively parallel programming. OpenACC for Programmers integrates contributions from 19 leading parallel programming experts from academia, public research organizations, and industry.
The authors and editors explain each key concept behind OpenACC, demonstrate how to use essential OpenACC development tools, and thoroughly explore each OpenACC feature set. Throughout, you'll find realistic examples, hands-on exercises, and case studies showcasing the efficient use of OpenACC language constructs.
You'll discover how OpenACC's language constructs can be translated to maximize application performance, and how its standard interface can target multiple platforms via widely used programming languages. Each chapter builds on what you've already learned, helping you build practical mastery one step at a time, whether you're a GPU programmer, scientist, engineer, or student.
All example code and exercise solutions are available for download at GitHub. Discover how OpenACC makes scalable parallel programming easier and more practicalWalk through the OpenACC spec and learn how OpenACC directive syntax is structuredGet productive with OpenACC code editors, compilers, debuggers, and performance analysis toolsBuild your first real-world OpenACC programsExploit loop-level parallelism in OpenACC, understand the levels of parallelism available, and maximize accuracy or performanceLearn how OpenACC programs are compiledMaster OpenACC programming best practicesOvercome common performance, portability, and interoperability challengesEfficiently distribute tasks across multiple processors
- Format: Paperback
- Pages: 320 pages
- Publisher: Pearson Education (US)
- Publication Date: 10/09/2017
- Category: Parallel processing
- ISBN: 9780134694283