Energy efficient Reconfigurable Computing with Adaptive Voltage and Logic scaling.

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

126 Downloads (Pure)

Abstract

This paper investigates a novel energy-proportional concept that combines closed-loop voltage scalability and run-time hardware reconfiguration. Voltage scaling is based on in-situ detectors that allow the device to detect valid working voltage and frequency pairs at run-time. The combined approach named AVLS (Adaptive Voltage and Logic Scaling) enables the adaptation of capacitance, voltage and frequency to obtain power and energy savings based on workload, process and operating conditions in a closed-loop configuration. The technique is applied to a reconfigurable motion estimation processor that can be configured with a variable number of execution units and it is used as a test vehicle. The results demonstrate that the proposed voltage scaling can obtain up to 85% reduction in energy compared with nominal voltage operation at the same frequency. This efficient energy point is obtained at a voltage of 0.62 V and frequency of 56 MHz compared with running the core at the same frequency and nominal 1 V. The addition of logic scalability means that if enough device resources are available a parallel configuration with six execution units operating at 0.62 V reduces energy by up to 95% compared with a single execution unit operating at 1 V and the same frequency.
Original languageEnglish
Title of host publicationACM SIGARCH Computer Architecture News
Subtitle of host publicationHEART '14
EditorsDoug DeGroot
PublisherAssociation for Computing Machinery (ACM)
Pages87-92
Number of pages6
Volume42
Edition4
DOIs
Publication statusPublished - 3 Dec 2014

Bibliographical note

ISSN: 0163-5964

Keywords

  • FPGA
  • energy efficiency
  • DVFS
  • AVS

Fingerprint Dive into the research topics of 'Energy efficient Reconfigurable Computing with Adaptive Voltage and Logic scaling.'. Together they form a unique fingerprint.

  • Projects

    Cite this

    Nunez-Yanez, J. L. (2014). Energy efficient Reconfigurable Computing with Adaptive Voltage and Logic scaling. In D. DeGroot (Ed.), ACM SIGARCH Computer Architecture News: HEART '14 (4 ed., Vol. 42, pp. 87-92). Association for Computing Machinery (ACM). https://doi.org/10.1145/2693714.2693730