Ebook Info
- Published: 2018
- Number of pages: 416 pages
- Format: PDF
- File Size: 8.02 MB
- Authors: Roman Trobec
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.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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Free Download Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science) in PDF format
Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science) PDF Free Download
Download Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science) 2018 PDF Free
Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science) 2018 PDF Free Download
Download Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science) PDF
Free Download Ebook Introduction to Parallel Computing: From Algorithms to Programming on State-of-the-Art Platforms (Undergraduate Topics in Computer Science)