Introduction to Parallel Computing, 1st ed. 2018 From Algorithms to Programming on State-of-the-Art Platforms Undergraduate Topics in Computer Science Series

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.

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

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.

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