Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems

Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin Irick, Yong Cheol Peter Cho, Jack Sampson, Vijaykrishnan Narayanan

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

7 Scopus citations

Abstract

Video applications are becoming ubiquitous in mobile and embedded systems. Wearable video systems such as Google Glasses require capabilities for real-time video analytics and prolonged battery lifetimes. Further, the increasing resolution of image sensors in these mobile systems places an increasing demand on both the memory storage as well as the computational power. In this work, we present the Refresh Enabled Video Analytics (REVA) system, an embedded architecture for multi-object scene understanding and tackle the unique opportunities provided by real-time embedded video analytics applications for reducing the DRAM memory refresh energy. We compare our design with the existing design space and show savings of 88% in refresh power and 15% in total power, as compared to a standard DRAM refresh scheme.

Original languageEnglish (US)
Title of host publication2014 32nd IEEE International Conference on Computer Design, ICCD 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages501-504
Number of pages4
ISBN (Electronic)9781479964925
DOIs
StatePublished - Dec 3 2014
Event32nd IEEE International Conference on Computer Design, ICCD 2014 - Seoul, Korea, Republic of
Duration: Oct 19 2014Oct 22 2014

Publication series

Name2014 32nd IEEE International Conference on Computer Design, ICCD 2014

Other

Other32nd IEEE International Conference on Computer Design, ICCD 2014
CountryKorea, Republic of
CitySeoul
Period10/19/1410/22/14

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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    Advani, S., Chandramoorthy, N., Swaminathan, K., Irick, K., Cho, Y. C. P., Sampson, J., & Narayanan, V. (2014). Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems. In 2014 32nd IEEE International Conference on Computer Design, ICCD 2014 (pp. 501-504). [6974727] (2014 32nd IEEE International Conference on Computer Design, ICCD 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCD.2014.6974727