Parallel Programming with OpenACC
eBook - ePub

Parallel Programming with OpenACC

  1. 326 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Parallel Programming with OpenACC

Book details
Table of contents
Citations

About This Book

Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort.

Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel® Xeon Phi™ as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems.

Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs.

  • Presents the simplest way to leverage GPUs to achieve application speedups
  • Shows how OpenACC works, including working examples that can be adapted for application needs
  • Allows readers to download source code and slides from the book's companion web page

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Parallel Programming with OpenACC by Rob Farber in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Languages. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Morgan Kaufmann
Year
2016
ISBN
9780124104594
Topic
Computer Science
Subtopic
Programming Languages
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Foreword by Michael Wolfe
  7. Preface
  8. Acknowledgments
  9. Chapter 1: From serial to parallel programming using OpenACC
  10. Chapter 2: Profile-guided development with OpenACC
  11. Chapter 3: Profiling performance of hybrid applications with Score-P and Vampir
  12. Chapter 4: Pipelining data transfers with OpenACC
  13. Chapter 5: Advanced data management
  14. Chapter 6: Tuning OpenACC loop execution
  15. Chapter 7: Multidevice programming with OpenACC
  16. Chapter 8: Using OpenACC for stencil and Feldkamp algorithms
  17. Chapter 9: Accelerating 3D wave equations using OpenACC
  18. Chapter 10: The detailed development of an OpenACC application
  19. Chapter 11: GPU-accelerated molecular dynamics clustering analysis with OpenACC
  20. Chapter 12: Incrementally accelerating the RI-MP2 correlated method of electronic structure theory using OpenACC compiler directives
  21. Chapter 13: Using OpenACC to port large legacy climate and weather modeling code to GPUs
  22. Index