Multicore and GPU Programming: An Integrated Approach

by Gerassimos Barlas

Overview

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.

Product Details

ISBN-13:	9780124171404
Publisher:	Morgan Kaufmann Publishers
Publication date:	12/16/2014
Sold by:	Barnes & Noble
Format:	eBook
Pages:	698
File size:	35 MB
Note:	This product may take a few minutes to download.

About the Author

Gerassimos Barlas is a Professor with the Computer Science & Engineering Department, American University of Sharjah, Sharjah, UAE. His research interest includes parallel algorithms, development, analysis and modeling frameworks for load balancing, and distributed Video on-Demand. Prof. Barlas has taught parallel computing for more than 12 years, has been involved with parallel computing since the early 90s, and is active in the emerging field of Divisible Load Theory for parallel and distributed systems.

Table of Contents

Part A: Introduction
1. Introduction
2. Multicore and Parallel Program Design

Part B: Programming with Threads and Processes
3. Shared-memory Programming: Threads
4. Concurrent Data Structures
5. Distributed Memory Programming MPI
6. GPU Programming: CUDA
7. GPU Programming: OpenCL

Part C: Higher-level Programming
8. Shared-memory Programming: OpenMP
9. GPU Programming: OpenACC
10. The Thrust Template Library

Part D: Advanced Topics
11. Load Balancing

What People are Saying About This

From the Publisher

Covers both traditional and massively parallel computing, now including a new chapter on concurrent data structures and the latest research on load balancing