Multicore and GPU Programming: An Integrated Approach

✍ Scribed by Gerassimos Barlas

• Publisher: Morgan Kaufmann
• Year: 2014
• Tongue: English
• Leaves: 684
• Edition: 1
• Category: Library

✦ Synopsis

Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm.

Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines.

• Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA
• Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance
• Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems
• Download source code, examples, and instructor support materials on the books companion website

✦ Table of Contents

Content:
Front Matter, Pages i-ii
Copyright, Page iv
Dedication, Page v
List of Tables, Pages xiii-xiv
Preface, Pages xv-xix
Chapter 1 - Introduction, Pages 1-26
Chapter 2 - Multicore and parallel program design, Pages 27-54
Chapter 3 - Shared-memory programming: threads, Pages 55-163
Chapter 4 - Shared-memory programming: OpenMP, Pages 165-238
Chapter 5 - Distributed memory programming, Pages 239-390
Chapter 6 - GPU programming, Pages 391-526
Chapter 7 - The Thrust template library, Pages 527-573
Chapter 8 - Load balancing, Pages 575-628
Appendix A - Compiling Qt programs, Pages 629-630
Appendix B - Running MPI programs: preparatory configuration steps, Pages 631-634
Appendix C - Time measurement, Pages 635-639
Appendix D - Boost.MPI, Pages 641-642
Appendix E - Setting up CUDA, Pages 643-648
Appendix F - DLTlib, Pages 649-658
Glossary, Pages 659-660
Bibliography, Pages 661-663
Index, Pages 665-677