A compilation framework for power and energy management on mobile computers

Ulrich Kremer, Jamey Hicks, James Rehg

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Power and energy management is crucial for mobile devices that rely on battery power. In addition to voice recognition, image understanding is an important class of applications for mobile environments. We propose a new compilation strategy for remote task mapping, and report experimental results for a face detection and recognition system. Our compilation strategy generates two versions of the input program, one to be executed on the mobile device (client), and the other on a machine connected to the mobile device via a wireless network (server). Compiler supported check-pointing is used to allow the client to monitor program progress on the server, and to request checkpoint data in case of anticipated server and/or network failure. The reported results have been obtained by actual power measurements, not simulation. Experiments show energy savings of up to one order of magnitude on the mobile machine. A prototype implementation of the discussed compilation framework is underway, and preliminary results are reported.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHenry G. Dietz
PublisherSpringer
Pages115-131
Number of pages17
ISBN (Print)3540040293
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2624
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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