Exploration of associative power management with instruction governed operation for ultra-low power design

Tianyu Jia, Yuanbo Fan, Russell E Joseph, Jie Gu

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

5 Scopus citations

Abstract

This paper explores a novel associative low power operation where instructions govern the operation of on-chip regulators in real time. Based on explicit association between long delay instruction patterns and hardware performance, an instruction based power management scheme is developed with energy models formulated for deriving the energy efficiency of the associative operation. The proposed system scheme is demonstrated using a low power microprocessor design with an integrated switched capacitor regulator in 45nm CMOS technology. Simulations on benchmark programs show a power saving of around 14% from the proposed scheme. A novel compiler optimization strategy is also proposed to further improve the energy efficiency.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume05-09-June-2016
ISBN (Electronic)9781450342360
DOIs
StatePublished - Jun 5 2016
Event53rd Annual ACM IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: Jun 5 2016Jun 9 2016

Other

Other53rd Annual ACM IEEE Design Automation Conference, DAC 2016
CountryUnited States
CityAustin
Period6/5/166/9/16

Keywords

  • Compiler optimization
  • Energy efficient computing
  • Integrated power management
  • Low power design
  • Switching regulator

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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  • Cite this

    Jia, T., Fan, Y., Joseph, R. E., & Gu, J. (2016). Exploration of associative power management with instruction governed operation for ultra-low power design. In Proceedings of the 53rd Annual Design Automation Conference, DAC 2016 (Vol. 05-09-June-2016). [a152] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/2897937.2898021