| Introduction to Parallel Processing: Algorithms and Architectures Contributor(s): Parhami, Behrooz (Author) |
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ISBN: 0306459701 ISBN-13: 9780306459702 Publisher: Springer OUR PRICE: $208.99 Product Type: Hardcover - Other Formats Published: January 1999 Annotation: This original text provides comprehensive coverage of parallel algorithms and architectures, beginning with fundamental concepts and continuing through architectural variations and aspects of implementation. Unlike the authors of similar texts, Professor Parhami reviews the circuit model and problemdriven parallel machines, variants of mesh architectures, and composite and hierarchical systems, among other subjects. With its balanced treatment of theory and practical designs, classtested lecture material and problems, and helpful case studies, the book is suited to graduate and upperlevel undergraduate students of advanced architecture or parallel processing. |
| Additional Information |
| BISAC Categories: - Computers | Systems Architecture - Distributed Systems & Computing - Computers | Management Information Systems |
| Dewey: 004.35 |
| LCCN: 98045719 |
| Series: Computer Science |
| Physical Information: 1.5" H x 7.3" W x 10.2" (2.70 lbs) 532 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other. |