Parallel Computing
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Parallel Computing
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Author : Moreshwar R. Bhujade
language : en
Publisher: New Age International
Release Date : 1995
Parallel Computing written by Moreshwar R. Bhujade and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Parallel processing (Electronic computers) categories.
Parallel Computing Deals With The Topics Of Current Interests In Parallel Processing Architectures (Synchronous Parallel Architectures). The Synchronous Model Of Parallel Processing Is Based On Two Orthogonal Fundamental Ideas, Viz.,1. Temporal Parallelism (Pipeline Processing), And2. Spatial Parallelism (Simd Parallel Processing).This Book Is Devoted To An Indepth Treatment Of Both Of The Above Ideas. The Primary Goal Here Is To Provide A Deeper Understanding Of The Ideas And Principles Involved And Not The Description Of Machines Which Could Be Found Elsewhere. The Material Presented In This Book Has Evolved Through The Advanced Courses Taught By The Author In Architecture And Parallel Processing. A One Semester Advanced Course Can Be Planned Employing The Material From This Book, Supplemented By The Papers Of Current Interests From Current Technical Literature.
Parallel Processing For Scientific Computing
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Author : Michael A. Heroux
language : en
Publisher: SIAM
Release Date : 2006-01-01
Parallel Processing For Scientific Computing written by Michael A. Heroux and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Computers categories.
Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
Elements Of Parallel Computing
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Author : V. Rajaraman
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2006
Elements Of Parallel Computing written by V. Rajaraman and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Parallel computers categories.
Introduction To Parallel Computing
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Author : Ananth Grama
language : en
Publisher: Pearson Education
Release Date : 2003
Introduction To Parallel Computing written by Ananth Grama and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
Introduction To Parallel Computing
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Author : Roman Trobec
language : en
Publisher: Springer
Release Date : 2018-09-27
Introduction To Parallel Computing written by Roman Trobec and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Computers categories.
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.
Languages And Compilers For Parallel Computing
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Author : Lawrence Rauchwerger
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-02-25
Languages And Compilers For Parallel Computing written by Lawrence Rauchwerger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-25 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 16th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2003, held in College Station, Texas, USA, in October 2003. The 35 revised full papers presented were selected from 48 submissions during two rounds of reviewing and improvement upon presentation at the workshop. The papers are organized in topical sections on adaptive optimization, data locality, parallel languages, high-level transformations, embedded systems, distributed systems software, low-level transformations, compiling for novel architectures, and optimization infrastructure.
Experimental Parallel Computing Architectures
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Author : J. J. Dongarra
language : en
Publisher: North Holland
Release Date : 1987
Experimental Parallel Computing Architectures written by J. J. Dongarra and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Computer Systems Organization -- Parallel architecture.
Parallel Computing For Data Science
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Author : Norman Matloff
language : en
Publisher: CRC Press
Release Date : 2015-06-04
Parallel Computing For Data Science written by Norman Matloff and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-04 with Computers categories.
This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic n observations, p variables matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.
Parallel Computing On Heterogeneous Networks
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Author : Alexey L. Lastovetsky
language : en
Publisher: John Wiley & Sons
Release Date : 2008-05-02
Parallel Computing On Heterogeneous Networks written by Alexey L. Lastovetsky and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-02 with Computers categories.
New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction
An Introduction To Parallel Programming
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Author : Peter Pacheco
language : en
Publisher: Elsevier
Release Date : 2011-02-17
An Introduction To Parallel Programming written by Peter Pacheco and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-17 with Computers categories.
An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. - Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples - Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs - Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models