The integrated circuit has evolved tremendously in recent years as Moore's Law has enabled exponentially more devices and functionality to be packed onto a single piece of silicon. In some ways however, these highly integrated circuits, of which microprocessors are the flagship example, have become victims of their own success. Despite dramatic reductions in the switching energy of the transistors, these reductions have kept pace neither with the increased integration levels nor with the higher switching frequencies. In addition, the atomic dimensions being utilized by these highly integrated processors have given rise to much higher levels of random and systematic variation which undercut the gains from process scaling that would otherwise be realized. So these factorsthe increasing impact of variation and the struggle to control power consumptionhave given rise to a tremendous amount of innovation in the area of adaptive techniques for dynamic processor optimization. The fundamental premise behind adaptive processor design is the recognition that variations in manufacturing and environment cause a statically configured operating point to be far too inefficient. Inefficient designs waste power and performance and will quickly be surpassed by more adaptive designs, just as it happens in the biological realm. Organisms must adapt to survive, and a similar trend is seen with processors those that are enabled to adapt to their environment, will be far more competitive.

Focuses on various adaptive and dynamic techniques to optimize processor power and performance. Includes information on the underlying process technology for adaptive designs. Addresses the different aspects of different circuits, architecture, and software. Contains chapters by both academic and industry engineers in order to provide a larger scope of alternative practices. Includes supplementary material: sn.pub/extras

Klappentext

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.

Inhalt
Technology Challenges Motivating Adaptive Techniques.- Technological Boundaries of Voltage and Frequency Scaling for Power Performance Tuning.- Adaptive Circuit Technique for Managing Power Consumption.- Dynamic Adaptation Using Body Bias, Supply Voltage, and Frequency.- Adaptive Supply Voltage Delivery for Ultra-dynamic Voltage Scaled Systems.- Dynamic Voltage Scaling with the XScale Embedded Microprocessor.- Sensors for Critical Path Monitoring.- Architectural Techniques for Adaptive Computing.- Variability-Aware Frequency Scaling in Multi-Clock Processors.- Temporal Adaptation Asynchronicity in Processor Design.- Dynamic and Adaptive Techniques in SRAM Design.- The Challenges of Testing Adaptive Designs.