
Multicore and GPU Programming
An Integrated Approach
Gerassimos Barlas(Author)
Morgan Kaufmann (Publisher)
Published on 18. November 2014
Book
Paperback/Softback
698 pages
978-0-12-417137-4 (ISBN)
Article exhausted; check for reprint
Description
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.
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.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Graduate students in parallel computing courses covering both traditional and GPU computing (or a two-semester sequence); professionals and researchers looking to master parallel computing.
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1360 gr
ISBN-13
978-0-12-417137-4 (9780124171374)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
08/2022
2nd Edition
Morgan Kaufmann
€106.50
Available immediately
Additional editions

E-Book
12/2014
Morgan Kaufmann
€56.99
Available for download
Person
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.
Author
Professor, Computer Science and Engineering Department, American University of Sharjah, UAE
Content
1 Introduction2 Multicore and Parallel Program Design3 Shared-memory programming: Threads4 Shared-memory programming: OpenMP5 Distributed memory programming6 GPU Programming7 The Thrust Template Library8 Load BalancingA Compiling Qt programsB RunningMPI Programs: Preparatory and Configuration StepsC Time MeasurementD Boost.MPIE Setting up CUDAF DLTlib