Abstract
Application-level Prediction of Program Power Dissipation
by: Rich Wolski, Chandra Krintz, and Ye Wen
Abstract:
In this paper, we investigate the degree to which power dissipationinduced by program execution can be measured and predicted byapplication-level software tools. Application control of the powerit uses while executing on a processor is critical to both the nextgeneration of super-dense machine architectures (e.g. IBM Blue Gene)and battery-powered mobile devices that are an integral to anyrealization of ubiquitous computing.Our work investigates the use of instruction-level power dissipationmeasurements to make whole-program power-consumption estimates andstatistical techniques that predict battery death strictly fromobserved dissipation history. We demonstrate the prediction accuracyassociated with each approach. As such, this work establishes aninitial set of bounds on the accuracy with which software power managementtools can expect to predict application power dissipation.
Keywords:
Supercomputing, Grid Computing, Mobile Device, StrongARM, Battery Power Consumption, Compilation
Date:
May 2002
Document: 2002-10
