Product details
ISBN
9780471251828
Published
1998-08-21
Publisher
John Wiley & Sons Inc
Weight
765 gr
Height
236 mm
Width
160 mm
Thickness
33 mm
Age
UU, UP, P, 05, 06
Language
Product language
Engelsk
Format
Product format
Innbundet
Number of pages
384
Biographical note
C. XAVIER teaches in the Department of Computer Science at St. Xavier College in Palayamkottai, India. He has published numerous papers on parallel algorithms and more than ten computer science textbooks.S. S. IYENGAR is Professor and Chairman of the Department of Computer Science at Louisiana State University. He has published several books and more than 220 papers on high-performance algorithms and data structures and has headed research projects for such organizations as the Office of Naval Research, the National Aeronautics and Space Administration, the National Science Foundation, and others. He is a Fellow of the IEEE for research contributions to data structures and algorithms and received the University Distinguished Faculty Award.
"...an introduction to parallel algorithms..." (Zentralblatt fur Mathematik, Vol. 948, No. 23)
Parallel algorithms Made Easy
The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book:
* Presents basic concepts in clear and simple terms
* Incorporates numerous examples to enhance students' understanding
* Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering
* Employs extensive illustrations of new design techniques
* Discusses parallel algorithms in the context of PRAM model
* Includes end-of-chapter exercises and detailed references on parallel computing.
This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.
The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book:
* Presents basic concepts in clear and simple terms
* Incorporates numerous examples to enhance students' understanding
* Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering
* Employs extensive illustrations of new design techniques
* Discusses parallel algorithms in the context of PRAM model
* Includes end-of-chapter exercises and detailed references on parallel computing.
This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.
Read more
The complexity of today's information processing requirements, coupled with the availability of powerful computers, have boosted the interest in the study, design, and analysis of parallel algorithms. Introduction to Parallel Algorithms responds to the need in the field for an easy-to-understand text in this growth area of computer science.
Read more
FOUNDATIONS OF PARALLEL COMPUTING.
Elements of Parallel Computing.
Data Structures for Parallel Computing.
Paradigms for Parallel Algorithm.
Simple Algorithms.
ALGORITHMS FOR GRAPH MODELS.
Tree Algorithms.
Graph Algorithms.
NC Algorithms for Chordal Graphs.
ARRAY MANIPULATION ALGORITHMS.
Searching and Merging.
Sorting Algorithms.
NUMERICAL ALGORITHMS.
Algebraic Equations and Matrices.
Differentiation and Integration.
Differential Equations.
Answers to Selected Exercises.
Index.
Elements of Parallel Computing.
Data Structures for Parallel Computing.
Paradigms for Parallel Algorithm.
Simple Algorithms.
ALGORITHMS FOR GRAPH MODELS.
Tree Algorithms.
Graph Algorithms.
NC Algorithms for Chordal Graphs.
ARRAY MANIPULATION ALGORITHMS.
Searching and Merging.
Sorting Algorithms.
NUMERICAL ALGORITHMS.
Algebraic Equations and Matrices.
Differentiation and Integration.
Differential Equations.
Answers to Selected Exercises.
Index.
Read more
Parallel algorithms Made Easy
The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book:
* Presents basic concepts in clear and simple terms
* Incorporates numerous examples to enhance students' understanding
* Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering
* Employs extensive illustrations of new design techniques
* Discusses parallel algorithms in the context of PRAM model
* Includes end-of-chapter exercises and detailed references on parallel computing.
This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.
The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book:
* Presents basic concepts in clear and simple terms
* Incorporates numerous examples to enhance students' understanding
* Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering
* Employs extensive illustrations of new design techniques
* Discusses parallel algorithms in the context of PRAM model
* Includes end-of-chapter exercises and detailed references on parallel computing.
This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.
Read more
Product details
ISBN
9780471251828
Published
1998-08-21
Publisher
John Wiley & Sons Inc
Weight
765 gr
Height
236 mm
Width
160 mm
Thickness
33 mm
Age
UU, UP, P, 05, 06
Language
Product language
Engelsk
Format
Product format
Innbundet
Number of pages
384
Biographical note
C. XAVIER teaches in the Department of Computer Science at St. Xavier College in Palayamkottai, India. He has published numerous papers on parallel algorithms and more than ten computer science textbooks.S. S. IYENGAR is Professor and Chairman of the Department of Computer Science at Louisiana State University. He has published several books and more than 220 papers on high-performance algorithms and data structures and has headed research projects for such organizations as the Office of Naval Research, the National Aeronautics and Space Administration, the National Science Foundation, and others. He is a Fellow of the IEEE for research contributions to data structures and algorithms and received the University Distinguished Faculty Award.