Programming Multicore and Many-core Computing Systems (Wiley Series on Parallel and Distributed Computing)
Language: English
Published by Wiley, 2017
Series: Book 29 of 32 - Wiley Series on Parallel and Distributed Computing
- First Edition
- Hardcover
- New

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* Young researchers (doctoral students and PostDocs) can use this book to learn about the related research work and use it as a reference. * Graduate students can use this book for courses related to parallel programming. Editor(s): Pllana, Sabri; Xhafa, Fatos. Series: Wiley Series on Parallel and Distributed Computing. Num Pages: 528 pages. BIC Classification: UM. Category: (P) Professional & Vocational. Dimension: 233 x 152 x 33. Weight in Grams: 839. . 2017. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780470936900
- Title
- Programming Multicore and Many-core Computing Systems (Wiley Series on Parallel and Distributed Computing)
- Author
- Pllana, Sabri
- Publisher
- Wiley
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470936908
- ISBN 13
- 9780470936900
- Edition
- 1st Edition
- Series
- Book 29 of 32: Wiley Series on Parallel and Distributed Computing
Programming multi-core and many-core computing systems
Sabri Pllana, Linnaeus University, Sweden
Fatos Xhafa, Technical University of Catalonia, Spain
Provides state-of-the-art methods for programming multi-core and many-core systems
The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems.
Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors. However, programmers have been traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the past, only a relatively small group of programmers interested in High Performance Computing (HPC) was concerned with the parallel programming issues, but the situation has changed dramatically with the appearance of multi-core processors on commonly used computing systems. It is expected that with the pervasiveness of multi-core processors, parallel programming will become mainstream.
The pervasiveness of multi-core processors affects a large spectrum of systems, from embedded and general-purpose, to high-end computing systems. This book assists programmers in mastering the efficient programming of multi-core systems, which is of paramount importance for the software-intensive industry towards a more effective product-development cycle.
Key features:
- Lessons, challenges, and roadmaps ahead.
- Contains real world examples and case studies.
- Helps programmers in mastering the efficient programming of multi-core and many-core systems.
The book serves as a reference for a larger audience of practitioners, young researchers and graduate level students. A basic level of programming knowledge is required to use this book.
"Synopsis" may belong to another edition of this title.
About the Author
Fatos Xhafa received his PhD in Computer Science in 1998 from the Technical University of Catalonia (UPC), Barcelona, Spain. Currently, he holds a permanent position of Professor Titular d’Universitat at UPC. He was a Visiting Professor at University of London (UK), 2009-2010, and Research Associate at Drexel University (USA), 2004/2005. He has widely published in international journals, conferences/workshops, book chapters, edited books and proceedings in the field. He is editor in Chief of the International Journal of Grid and Utility Computing, International Journal of Space-based and Situated Computing, Inderscience. He is Editor in Chief of the Elsevier Book Series “Intelligent Data-Centric Systems” and of Springer Lecture Notes in Data Engineering and Communication Technologies. He is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Emerging Technical Subcommittee of IoT. His research interests include parallel and distributed computing, massive data processing, collective intelligence, optimization, trustworthy computing, machine learning, etc.
"About the title" may belong to another edition of this title.
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