Ebook: Introduction to parallel computing: from algorithms to programming on state-of-the-art platforms
Author: Bulić Patricio, Robič Borut, Slivnik Boštjan, Trobec Roman
- Genre: Computers
- Tags: Parallel programming (Computer science), Parallel processing (Electronic computers), Programming Techniques., Processor Architectures., Control Structures and Microprogramming., Numeric Computing., Computers -- Systems Architecture -- General., Computers -- Programming -- Algorithms., Computer architecture & logic design., Algorithms & data structures., Mathematical theory of computation., Computers -- Programming -- General., Computer programming -- software development.
- Series: Undergraduate topics in computer science
- Year: 2018
- Publisher: Springer
- Language: English
- pdf
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 Read more...
Abstract: 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