Introduction to Parallel Computing :From Algorithms to Programming on State-of-the-Art Platforms - Undergraduate Topics in Computer Science
Introduction to Parallel Computing :From Algorithms to Programming on State-of-the-Art Platforms - Undergraduate Topics in Computer Science
paperback
Published:
9 October, 2018
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Description
Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms.
This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters.
Many examples and exercises support the exposition.
More Details
| Type | Book |
|---|---|
| ISBN13 | 9783319988320 |
| ISBN10 | 3319988328 |
| Number Of Pages | 256 |
| Item Weight | 1000 g |
| Publisher / Reseller | Springer International Publishing AG |
| Format | paperback |
| Edition | 2018 ed. |
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Author's Bio
Roman Trobec is Head of the Parallel and Distributed Computing Laboratory at the Jožef Stefan Institute, Ljubljana, Slovenia, and an Associate Professor in the Faculty of Computer and Information Science at the University of Ljubljana. Boštjan Slivnik is an Assistant Professor in the Faculty of Computer and Information Science at the University of Ljubljana. Patricio Bulić is an Associate Professor, and Borut Robič is a Full Professor, at the same institution.
Other Springer titles by the same authors include The Foundations of Computability Theory, Application and Multidisciplinary Aspects of Wireless Sensor Networks: Concepts, Integration, and Case Studies, and Parallel Computing: Numerics, Applications, and Trends.