
High Performance Computer Architecture
Harold S. Stone(Author)
Pearson (Publisher)
3rd Edition
Published on 5. February 1993
Book
Paperback/Softback
512 pages
978-0-201-52688-2 (ISBN)
Description
This update of the popular book on computer architecture presents design ideas embodied in many high-performance machines and stresses techniques for evaluating them. Stone develops a proper understanding of the design process by treating the various trade-offs that exist in designing choices, and shows how good designs make efficient use of technology. Features *Teaches techniques for the design and analysis of high-performance machines *Develops students' intuition for design by treating various tradeoffs that exist in design choices *Discusses many important topics: RISC architectures, interconnection meshes, Cache coherent and multiprocessors, and Cache Memory. *Includes enhanced descriptions of RISC Processors *Expands material on Cache Memory Analysis *Current technology in RISC with a focused look on super scalar *Additional memory models and techniques for doing Cache design *New porposals for coherent memory systems in System C parallel processors *Both design and thought problems and problems with limiting parameters are provided 0201526883B04062001
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 240 mm
Width: 170 mm
Thickness: 25 mm
Weight
810 gr
ISBN-13
978-0-201-52688-2 (9780201526882)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Harold S. Stone
High-performance Computer Architecture
Book
07/1990
2nd Edition
Longman Higher Education
€37.08
Article exhausted; check for reprint
Content
1. Introduction.
2. Memory-System Design.
3. Pipeline Design Techniques.
4. Characteristics of Numerical Applications.
5. Vector Computers.
6. Multiprocessors.
7. Multiprocessor Algorithms.
2. Memory-System Design.
3. Pipeline Design Techniques.
4. Characteristics of Numerical Applications.
5. Vector Computers.
6. Multiprocessors.
7. Multiprocessor Algorithms.