Multicore and GPU Programming: An Integrated Approach

by Gerassimos Barlas

Multicore and GPU Programming offers broad coverage of the key parallel computing 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.

698 pages, Paperback

First published October 15, 2014

Reviews

[Brian · Rating 3 out of 5]

In conclusion, I wanted to like and use the book. Whenever I speak with the publisher, they always direct me to it, I just have to hope for something else to come along. Use it as a reference perhaps, but I am cautious in my recommendation.

(Full review at my blog)