Parallel and distributed computing : architectures and algorithms / S. K. Basu
Material type:
TextSeries: Eastern economy editionPublication details: New Delhi : PHI Learning Private Limited, c2016Edition: Eastern economy editionDescription: xxi, 385 pages : illustrations ; 24 cmISBN: 9788120352124Subject(s): ELECTRONIC DATA PROCESSING -- DISTRIBUTED PROCESSING | PARALLEL PROGRAMMING (COMPUTER SCIENCE)LOC classification: QA 76.58 .B37 2016Summary: 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.
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LRC - Main | National University - Manila | Machine Learning | General Circulation | GC QA 76.58 .B37 2016 (Browse shelf (Opens below)) | c.1 | Available | NULIB000016493 |
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| GC QA 76.9.B45 .R63 2020 Build a career in data science / | GC QA 76.9.S88 .K46 2011 c.4 Systems analysis and design / | GC QA 76.9.S88 .K46 2011 c.5 Systems analysis and design / | GC QA 76.58 .B37 2016 Parallel and distributed computing : architectures and algorithms / | GC QA 76.58 .F65 2013 Distributed algorithms : an intuitive approach / | GC QA 76.58 .R39 2014 Fundamentals of parallel computing / | GC QA 76.73 .C46 2021 Deep learning with python / |
Includes bibliographical references and index.
Contents: Preface part A 1. Introduction 2. Vector processing 3. Superscalar and view processors 4. Array processing 5. Data flow computation 6. Associative processing 7. Systolic computation 8. Multistage interconnection network 9. Paradigms for parallel processing 10. Multiprocessor algorithms 11. Parallel sorting 12. Fourier transform 13. Matrix computation part B 14. Distributed processing 15. Selected issues in distributed processing 16. High performance computing: paradigms and issues appendices bibliography index. Preface part A 1. Introduction 2. Vector processing 3. Superscalar and view processors 4. Array processing 5. Data flow computation 6. Associative processing 7. Systolic computation 8. Multistage interconnection network 9. Paradigms for parallel processing 10. Multiprocessor algorithms 11. Parallel sorting 12. Fourier transform 13. Matrix computation part B 14. Distributed processing 15. Selected issues in distributed processing 16. High performance computing: paradigms and issues appendices bibliography index.
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.
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