Adaptive Techniques for Dynamic Processor Optimization Theory and Practice / edited by Alice Wang, Samuel Naffziger.

Adaptive Techniques for Dynamic Processor Optimization: Theory and Practice collects in one place, the research and experience of pioneers in the burgeoning area of dynamically adaptive silicon, where the part optimizes itself "on the fly". Static and potentially unique configuration of ea...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Wang, Alice (Editor), Naffziger, Samuel (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Integrated Circuits and Systems,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:Adaptive Techniques for Dynamic Processor Optimization: Theory and Practice collects in one place, the research and experience of pioneers in the burgeoning area of dynamically adaptive silicon, where the part optimizes itself "on the fly". Static and potentially unique configuration of each manufactured part has been practiced for some time, but advanced silicon processes no longer allow high performance parts that luxury. Variations, environmental conditions and diverse operating modes all confer a great competitive advantage on chips that succeed at monitoring conditions and adapting their operating point to optimize speed, power and reliability. This book discusses the different approaches and responses to adaptive techniques used for processor power, frequency and functionality optimization. Adaptive Techniques for Dynamic Processor Optimization: Theory and Practice includes chapter contributions that explore promising approaches and present the supporting data. This book is written for engineers interested in adaptive techniques for processors.
Physical Description:XVI, 304 p. 145 illus. online resource.
ISBN:9780387764726
ISSN:1558-9412
DOI:10.1007/978-0-387-76472-6