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Introduction to Parallel Computing

From Algorithms to Programming on State-of-the-Art Platforms

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Springer

Pages: 256
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AVAILABLE FORMATS

Paperback - 9783319988320

09 October 2018

$49.99

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Ebook - 9783319988337

27 September 2018

$39.99

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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...

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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.

Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances.

Many examples and exercises support the exposition.

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Introduces the foundations and state of the art of parallel computing

Suitable for a 15-week course for advanced undergraduate studies, and featuring exercises

Covers the key aspects of parallel computing: parallel, distributed and embedded multicore computing, computer clusters, and GPU computing

Part I: Foundations
Why Do We Need Parallel Programming
Overview of Parallel Systems.- Part II: Programming
Programming Multi-Core and Shared Memory Multiprocessors Using OpenMP
MPI Processes and Messaging
OpenCL for Massively Parallel Graphic Processors.- Part III: Engineering
Engineering: Parallel Computation of the Number π
Engineering: Parallel Solution of 1-D Heat Equation
Engineering: Parallel Implementation of Seam Carving
Final Remarks and Perspectives
Appendix A: Hints for Making Your Computer a Parallel Machine.

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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 TheoryApplication and Multidisciplinary Aspects of Wireless Sensor Networks: Concepts, Integration, and Case Studies,...

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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 TheoryApplication and Multidisciplinary Aspects of Wireless Sensor Networks: Concepts, Integration, and Case Studies, and Parallel Computing: Numerics, Applications, and Trends.

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