Introduction To Parallel Processing

By M. Sasikumar, Dinesh Shikhare, P. Ravi Prakash more
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Product Specifications

Publisher PHI Learning All Information Technology books by PHI Learning
ISBN 9788120350311
Author: M. Sasikumar, Dinesh Shikhare, P. Ravi Prakash
Number of Pages 301
Available
Available in all digital devices
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Introduction To Parallel Processing - Page 1 Introduction To Parallel Processing - Page 2 Introduction To Parallel Processing - Page 3 Introduction To Parallel Processing - Page 4 Introduction To Parallel Processing - Page 5

Introduction To Parallel Processing by M. Sasikumar, Dinesh Shikhare, P. Ravi Prakash
Book Summary:

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.

Audience of the Book :
This book Useful for computer science engineering Student.
Table of Contents:

1.   Introduction

2.    Parallel Processing Architectures

3.    Programmability Issues

4.    Data Dependency Analysis

5.    Shared Memory Programming

6.    Thread-based Implementation

7.    Distributed Computing-I: Message Passing Model

8.    Distributed Computing-II: Remote Procedure Call

9.    Using Parallelism Effectively

10.  Algorithms for Parallel Machines

11.  Parallel Programming Languages

12.  Debugging Parallel Programs

13.  Other Parallelism Paradigms

14.  Distributed Data Bases

15.  Distributed Operating Systems

Appendices

A:    POSIX Threads Reference

B:    PVM Reference

C:    UNIX Library for Shared Memory Abstraction

D:    Programming Assignments

Bibliography • Index

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