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Introduction To Parallel Processing, 2Nd Ed.
by Sasikumar, Et Al.
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Written with a straight forward 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 New to the Second Edition
A new Chapter - namedUsing Parallelism Effectivelyhas 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.
Table of Contents
Preface
Preface to the First Edition
Introduction
Parallel Processing Architectures
Programmability Issues
Data Dependency Analysis
Shared Memory Programming
Thread-based Implementation
Distributed Computing-I: Message Passing Model
Distributed Computing-II: Remote Procedure Call
Using Parallelism Effectively
Algorithms for Parallel Machines
Parallel Programming Languages
Debugging Parallel Programs
Other Parallelism Paradigms
Distributed Data Bases
Distributed Operating Systems
Appendices
A: POSIX Threads Reference
B: PVM Reference
C: UNIX Library for Shared Memory Abstraction
D: Programming Assignments
Bibliography
IndexISBN - 9788120350311
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