Parallel Programming with OpenACC

by Rob Farber

Overview

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.

Product Details

ISBN-13:	9780124103979
Publisher:	Elsevier Science
Publication date:	10/26/2016
Edition description:	New Edition
Pages:	326
Product dimensions:	7.50(w) x 9.20(h) x 0.80(d)

About the Author

Rob Farber has served as a scientist in Europe at the Irish Center for High-End Computing as well as U.S. national labs in Los Alamos, Berkeley, and the Pacific Northwest. He has also been on the external faculty at the Santa Fe Institute, consultant to fortune 100 companies, and co-founder of two computational startups that achieved liquidity events. He is the author of “CUDA Application Design and Development” as well as numerous articles and tutorials that have appeared in Dr. Dobb's Journal and Scientific Computing, The Code Project and others.

Table of Contents

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

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From the Publisher

This practical guide shows how anyone can use OpenACC with CPUs, GPUs, and other accelerators to improve application performance