Parallel algorithms Made Easy<br> <br> 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:<br> * Presents basic concepts in clear and simple terms<br> * Incorporates numerous examples to enhance students’ understanding<br> * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering<br> * Employs extensive illustrations of new design techniques<br> * Discusses parallel algorithms in the context of PRAM model<br> * Includes end-of-chapter exercises and detailed references on parallel computing.<br> <br> 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.
Introduction to Parallel Algorithms
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