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Multicore and GPU Programming: An Integrated Approach
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Multicore and GPU Programming: An Integrated Approach (Paperback)

£66.99
Pre-order for despatch on publication.

Synopsis

Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing skillsets, including multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other current tools, the book teaches the design and development of software capable of taking advantage of today's computing platforms that incorporate CPU and GPU hardware. In addition, it 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.



By using this book, readers will better understand how to 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.

Computing & ITComputer programming / software developmentProgramming & scripting languages: generalComputing & ITComputer scienceComputer architecture & logic design Publisher: Elsevier Science & Technology Publication Date: 16/06/2022 ISBN-13: 9780128141205  Details: Type: Paperback Format: Books
Availability: Pre-order for despatch on publication. Pre-Order

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.

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