An Introduction To Distributed And Parallel Computing


An Introduction To Distributed And Parallel Computing
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An Introduction To Distributed And Parallel Processing


An Introduction To Distributed And Parallel Processing
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Author : John A. Sharp
language : en
Publisher: Wiley-Blackwell
Release Date : 1987

An Introduction To Distributed And Parallel Processing written by John A. Sharp and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computer networks categories.


This book is an introduction to the highly topical areas of distributed and parallel processing, and will be of value to computer science undergraduates, students of electrical engineering, electronics and microprocessors, and non-specialist professionals working in related areas.



An Introduction To Distributed And Parallel Computing


An Introduction To Distributed And Parallel Computing
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Author : Joel M. Crichlow
language : en
Publisher:
Release Date : 1997

An Introduction To Distributed And Parallel Computing written by Joel M. Crichlow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


This book provides a comprehensive overview of both the hardware and software issues involved in designing state-of-the-art distributed and parallel computing systems. Essential for both students and practitioners, this book explores distributed computing from the bottom-up approach, starting with computing organization, communications and networks, and then discussing operating systems, client/server architectures, distributed databases and other applications. The book also includes coverage of parallel language design, including Occam and Linda. Each chapter ends with questions, and the book contains an extensive glossary and list of reference sources.



Parallel And Distributed Computing Architectures And Algorithms


Parallel And Distributed Computing Architectures And Algorithms
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Author : BASU, S. K.
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2016-01-02

Parallel And Distributed Computing Architectures And Algorithms written by BASU, S. K. 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 2016-01-02 with Computers categories.


This concise text is designed to present the recent advances in parallel and distributed architectures and algorithms within an integrated framework. Beginning with an introduction to the basic concepts, the book goes on discussing the basic methods of parallelism exploitation in computation through vector processing, super scalar and VLIW processing, array processing, associative processing, systolic algorithms, and dataflow computation. After introducing interconnection networks, it discusses parallel algorithms for sorting, Fourier transform, matrix algebra, and graph theory. The second part focuses on basics and selected theoretical issues of distributed processing. Architectures and algorithms have been dealt in an integrated way throughout the book. The last chapter focuses on the different paradigms and issues of high performance computing making the reading more interesting. This book is meant for the senior level undergraduate and postgraduate students of computer science and engineering, and information technology. The book is also useful for the postgraduate students of computer science and computer application.



Introduction To Parallel Processing


Introduction To Parallel Processing
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Author : M. Sasikumar
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-09-02

Introduction To Parallel Processing written by M. Sasikumar 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 2014-09-02 with Computers categories.


Written with a straightforward and student-centred approach, this extensively revised, updated and enlarged edition presents a thorough coverage of the various aspects of parallel processing including parallel processing architectures, programmability issues, data dependency analysis, shared memory programming, thread-based implementation, distributed computing, algorithms, parallel programming languages, debugging, parallelism paradigms, distributed databases as well as distributed operating systems. The book, now in its second edition, not only provides sufficient practical exposure to the programming issues but also enables its readers to make realistic attempts at writing parallel programs using easily available software tools. With all the latest information incorporated and several key pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering. It also caters to the students pursuing master of computer application. What’s New to the Second Edition • A new chapter named Using Parallelism Effectively has been added covering a case study of parallelising a sorting program, and introducing commonly used parallelism models. • Sections describing the map-reduce model, top-500.org initiative, Indian efforts in supercomputing, OpenMP system for shared memory programming, etc. have been added. • Numerous sections have been updated with current information. • Several questions have been incorporated in the chapter-end exercises to guide students from examination and practice points of view.



Parallel And Distributed Computing


Parallel And Distributed Computing
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Author : Claudia Leopold
language : en
Publisher: Wiley-Interscience
Release Date : 2001

Parallel And Distributed Computing written by Claudia Leopold and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.


An all-inclusive survey of the fundamentals of parallel and distributed computing. The use of parallel and distributed computing has increased dramatically over the past few years, giving rise to a variety of projects, implementations, and buzzwords surrounding the subject. Although the areas of parallel and distributed computing have traditionally evolved separately, these models have overlapping goals and characteristics. Parallel and Distributed Computing surveys the models and paradigms in this converging area of parallel and distributed computing and considers the diverse approaches within a common text. Covering a comprehensive set of models and paradigms, the material also skims lightly over more specific details and serves as both an introduction and a survey. Novice readers will be able to quickly grasp a balanced overview with the review of central concepts, problems, and ideas, while the more experienced researcher will appreciate the specific comparisons between models, the coherency of the parallel and distributed computing field, and the discussion of less well-known proposals. Other topics covered include: * Data parallelism * Shared-memory programming * Message passing * Client/server computing * Code mobility * Coordination, object-oriented, high-level, and abstract models * And much more Parallel and Distributed Computing is a perfect tool for students and can be used as a foundation for parallel and distributed computing courses. Application developers will find this book helpful to get an overview before choosing a particular programming style to study in depth, and researchers and programmers will appreciate the wealth of information concerning the various areas of parallel and distributed computing.



Topics In Parallel And Distributed Computing


Topics In Parallel And Distributed Computing
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Author : Sushil K Prasad
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-09-16

Topics In Parallel And Distributed Computing written by Sushil K Prasad and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-16 with Computers categories.


Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instruction Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline Succinctly addresses a range of parallel and distributed computing topics Pedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts



An Introduction To Parallel Programming


An Introduction To Parallel Programming
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Author : Peter Pacheco
language : en
Publisher: Morgan Kaufmann
Release Date : 2021-08-27

An Introduction To Parallel Programming written by Peter Pacheco and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-27 with Computers categories.


An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms



Distributed And Cloud Computing


Distributed And Cloud Computing
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Author : Kai Hwang
language : en
Publisher: Morgan Kaufmann
Release Date : 2013-12-18

Distributed And Cloud Computing written by Kai Hwang and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-18 with Computers categories.


Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online



Distributed And Parallel Systems


Distributed And Parallel Systems
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Author : Péter Kacsuk
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Distributed And Parallel Systems written by Péter Kacsuk 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 2012-12-06 with Computers categories.


Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing is the proceedings of the third Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by the Austrian Computer Society and the MTA SZTAKI Computer and Automation Research Institute. This book contains 18 full papers and 12 short papers from 14 countries around the world, including Japan, Korea and Brazil. The paper sessions cover a broad range of research topics in the area of parallel and distributed systems, including software development environments, performance evaluation, architectures, languages, algorithms, web and cluster computing. This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.



Introduction To Parallel Computing


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.