Adaptive online heuristic performance estimation and power optimization for reconfigurable embedded systems

Jingqing Mu, Roman Lysecky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

For dynamically adaptable systems, accurate online estimation methods can significantly improve the performance and power consumption of using reconfigurable hardware coprocessors implemented within an FPGA. Complex interactions between multiple application tasks, non-deterministic execution behavior in response to varying system inputs, and effects of operating system scheduling introduce significant challenges. We present an adaptive online performance and power estimation framework and heuristic power optimization method that monitors and adapts to dynamically changing application behavior. We further demonstrate the power savings that can be achieved using this approach for dynamic optimization of multitasked applications.

Original languageEnglish (US)
Title of host publicationCODES+ISSS'12 - Proceedings of the 10th ACM International Conference on Hardware/Software-Codesign and System Synthesis, Co-located with ESWEEK
Pages265-274
Number of pages10
DOIs
StatePublished - 2012
Event10th ACM International Conference on Hardware/Software-Codesign and System Synthesis, CODES+ISSS 2012, Co-located with 8th Embedded Systems Week, ESWEEK 2012 - Tampere, Finland
Duration: Oct 7 2012Oct 12 2012

Publication series

NameCODES+ISSS'12 - Proceedings of the 10th ACM International Conference on Hardware/Software-Codesign and System Synthesis, Co-located with ESWEEK

Other

Other10th ACM International Conference on Hardware/Software-Codesign and System Synthesis, CODES+ISSS 2012, Co-located with 8th Embedded Systems Week, ESWEEK 2012
Country/TerritoryFinland
CityTampere
Period10/7/1210/12/12

Keywords

  • Dynamically reconfigurable embedded systems
  • Online estimation
  • Performance and power estimation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

Fingerprint

Dive into the research topics of 'Adaptive online heuristic performance estimation and power optimization for reconfigurable embedded systems'. Together they form a unique fingerprint.

Cite this