Power Aware Computing edited by Robert Graybill, Rami Melhem.

With the advent of portable and autonomous computing systems, power con­ sumption has emerged as a focal point in many research projects, commercial systems and DoD platforms. One current research initiative, which drew much attention to this area, is the Power Aware Computing and Communications (PA...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Graybill, Robert (Editor), Melhem, Rami (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:Series in Computer Science,
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.
Table of Contents:
  • I Circuit Level Power Management
  • 1 Comparative Analysis of Flip-Flops and Application of Data-Gating in Dynamic Flip-Flops for High Speed, Low Active and Low Leakage Power Dissipation
  • 2 Low Power Sandwich/Spin Tunneling Memory Device
  • II Architecture Level Power Management
  • 3 Power-Efficient Issue Queue Design
  • 4 Micro-Architecture Design and Control Speculation for Energy Reduction
  • 5 Energy-Exposed Instruction Sets
  • III Operating System Level Power Management
  • 6 Dynamic Management of Power Consumption
  • 7 Power Management Points in Power-Aware Real-Time Systems
  • 8 A Power-Aware API for Embedded and Portable Systems
  • IV Compiler Level Power Management
  • 9 PACT HDL: A Compiler Targeting ASICs and FPGAs with Power and Performance Optimizations
  • 10 Compiler Optimizations for Low Power Systems
  • 11 Power-Performance Trade-Offs in Second Level Memory Used by an ARM-like RISC Architecture
  • V Application Level Power Management
  • 12 Application-Level Power Awareness
  • 13 A Power-Aware, Satellite-Based Parallel Signal Processing Scheme
  • 14 The Case for Power Management in Web Servers
  • VI Measurements and Evaluation
  • 15 Et2: A Metric for Time and Energy Efficiency of Computation
  • 16 Challenges for Architectural Level Power Modeling
  • 17 Software Energy Profiling.