Adaptive Techniques for Dynamic Processor Optimization

Theory and Practice

  • Alice Wang
  • Samuel Naffziger
Part of the Series on Integrated Circuits and Systems book series (ICIR)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. David Scott, Alice Wang
    Pages 3-23
  3. Tadahiro Kuroda, Takayasu Sakurai
    Pages 49-73
  4. Yogesh K. Ramadass, Joyce Kwong, Naveen Verma, Anantha Chandrakasan
    Pages 95-122
  5. Lawrence T. Clark, Franco Ricci, William E. Brown
    Pages 123-143
  6. Alan Drake
    Pages 145-174
  7. Shidhartha Das, David Roberts, David Blaauw, David Bull, Trevor Mudge
    Pages 175-205
  8. Sebastian Herbert, Diana Marculescu
    Pages 207-227
  9. Steve Furber, Jim Garside
    Pages 229-247
  10. Eric Fetzer, Jason Stinson, Brian Cherkauer, Steve Poehlman
    Pages 273-301
  11. Back Matter
    Pages 303-304

About this book

Introduction

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.

Keywords

Naffziger SRAM SRAM design Sensor Wang XScale embedded microprocessor circuit dynamic processor optimization microprocessor performance tuning software supply voltage testing ultra-dynamic voltage scaled systems voltage and frequency scaling

Editors and affiliations

  • Alice Wang
    • 1
  • Samuel Naffziger
    • 2
  1. 1.Texas InstrumentsDallasUSA
  2. 2.Advanced Micro DevicesFort CollinsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-76472-6
  • Copyright Information Springer-Verlag US 2008
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-76471-9
  • Online ISBN 978-0-387-76472-6
  • Series Print ISSN 1558-9412
  • About this book