Topics in Parallel and Distributed Computing: Introducing Concurrency in Undergraduate Courses - Softcover

Softcover

ISBN 10: 0128038993 ISBN 13: 9780128038994

Publisher: Morgan Kaufmann, 2015

Synopsis

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. * Contributed and developed by the leading minds in parallel computing research and instruction* Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline* Succinctly addresses a range of parallel and distributed computing topics* Pedagogically designed to ensure understanding by experienced engineers and newcomers * Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts

About this title

Review:

This book provides a cross-disciplinary approach for both those learning and teaching parallel and distributed computing, a field that continues to grow in numbers with application in computing devices containing CPU's and GPU's, including home and office PC's, laptops, and mobile devices.

About the Author:

Sushil K. Prasad (BTech'85 IIT Kharagpur, MS'86 Washington State, Pullman; PhD'90 Central Florida, Orlando - all in Computer Science/Engineering) is a Professor of Computer Science at Georgia State University and Director of Distributed and Mobile Systems (DiMoS) Lab. He has carried out theoretical as well as experimental research in parallel and distributed computing, resulting in 140+ refereed publications, several patent applications, and about $3M in external research funds as principal investigator and over $6M overall (NSF/NIH/GRA/Industry).

Sushil has been honored as an ACM Distinguished Scientist in Fall 2013 for his research on parallel data structures and applications. He was the elected chair of IEEE Technical Committee on Parallel Processing for two terms (2007-11), and received its highest honors in 2012 - IEEE TCPP Outstanding Service Award. Currently, he is leading the NSF-supported IEEE-TCPP curriculum initiative on parallel and distributed computing with a vision to ensure that all computer science and engineering graduates are well-prepared in parallelism through their core courses in this era of multi- and many-cores desktops and handhelds. His current research interests are in Parallel Data Structures and Algorithms, and Computation over Geo-Spatiotemporal Datasets over Cloud, GPU and Multicore Platforms. His homepage is www.cs.gsu.edu/prasad.

About this edition

• Publisher: Morgan Kaufmann
• Publication date: 2015
• ISBN 10: 0128038993
• ISBN 13: 9780128038994
• Binding: Paperback
• Number of pages: 358
• Editor: Prasad Sushil K, Gupta Anshul, Rosenberg Arnold L, Sussman Alan, Weems Charles C