Description: Parallel Programming with OpenACC This practical guide shows how anyone can use OpenACC with CPUs, GPUs, and other accelerators to improve application performance Rob Farber (Author) 9780124103979, Elsevier Science Paperback / softback, published 8 November 2016 326 pages 23.5 x 19 x 2.1 cm, 0.73 kg 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. Foreword Michael Wolfe 1. From Serial to Parallel Programming using OpenACC Rob Farber 2. Profile-Guided Development with OpenACC Jeff Larkin 3. Profiling Performance of Hybrid Applications with Score-P and Vampir Guido Jukeland 4. Pipelining Data Transfers with OpenACC Jeff Larkin 5. Advanced Data Management Mat Colgrove 6. Tuning OpenACC loop execution Saber Feki 7. Multi Device Programming with OpenACC Jiri Kraus 8. Using OpenACC for Stencil and Feldkamp Algorithms Sunita Chandrasekaran 9. Accelerating 3D Wave Equations using OpenACC Ty McKercher 10. The Detailed Development of an OpenACC Application Andy Herdman 11. GPU-Accelerated Molecular Dynamics Clustering Analysis with OpenACC John Stone 12. Incrementally accelerating the RI-MP2 correlated method of electronic structure theory using OpenACC compiler directives Janus J. Eriksen 13. Using OpenACC to port large legacy climate and weather modelling code to GPUs Xavier Lapillonne Subject Areas: Programming & scripting languages: general [UMX]
Price: 34.99 GBP
Location: AL7 1AD
End Time: 2024-11-27T15:31:42.000Z
Shipping Cost: 128.51 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Return policy details:
BIC Subject Area 1: Programming & scripting languages: general [UMX]
Item Height: 235 mm
Item Width: 191 mm
Author: Rob Farber
Publication Name: Parallel Programming with Openacc
Format: Paperback
Language: English
Publisher: Elsevier Science & Technology
Subject: Computer Science
Publication Year: 2016
Type: Textbook
Item Weight: 730 g
Number of Pages: 326 Pages
