Synopses & Reviews
This book provides a comprehensive analysis of the most important topics in parallel computation. It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come. The first half of the book consists of an introduction to many fundamental issues in parallel computing. The second half provides lists of P-complete- and open problems. These lists will have lasting value to researchers in both industry and academia. The lists of problems, with their corresponding remarks, the thorough index, and the hundreds of references add to the exceptional value of this resource. While the exciting field of parallel computation continues to expand rapidly, this book serves as a guide to research done through 1994 and also describes the fundamental concepts that new workers will need to know in coming years. It is intended for anyone interested in parallel computing, including senior level undergraduate students, graduate students, faculty, and people in industry. As an essential reference, the book will be needed in all academic libraries.
Review
"This is an excellent book about the classification of computing problems....I am sure that it can be useful as a textbook for students or as basic material for researchers wanting to start some research in this area." --Mathematical Reviews
Review
"This is an excellent book about the classification of computing problems....I am sure that it can be useful as a textbook for students or as basic material for researchers wanting to start some research in this area." --Mathematical Reviews
Synopsis
With its cogent overview of the essentials of parallel computation as well as lists of P-complete and open problems, extensive remarks corresponding to each problem, and extensive references, this book is the ideal introduction to parallel computing.
Description
Includes bibliographical references (p. [255]-284) and index.
Table of Contents
PART I: Background and Theory
1. Introduction
2. Parallel Models and Complexity Classes
3. Two Basic P-Complete Problems
4. Evidence that NC Does Not Equal P
5. The Circuit Value Problem
6. Parallel Versions of Sequential Paradigms
7. Boolean Circuits
PART II: P-Complete and Open Problems
8. List of P-Complete Problems
9. Open Problems