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

doi:10.1109/ICCD.2014.6974727

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 proceeding › Conference contribution

9 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 language	English (US)
Title of host publication	2014 32nd IEEE International Conference on Computer Design, ICCD 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	501-504
Number of pages	4
ISBN (Electronic)	9781479964925
DOIs	https://doi.org/10.1109/ICCD.2014.6974727
State	Published - Dec 3 2014
Event	32nd IEEE International Conference on Computer Design, ICCD 2014 - Seoul, Korea, Republic of Duration: Oct 19 2014 → Oct 22 2014

Publication series

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

Other

Other	32nd IEEE International Conference on Computer Design, ICCD 2014
Country/Territory	Korea, Republic of
City	Seoul
Period	10/19/14 → 10/22/14

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Science Applications

Access to Document

10.1109/ICCD.2014.6974727

Cite this

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). Article 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

Advani, Siddharth ; Chandramoorthy, Nandhini ; Swaminathan, Karthik et al. / Refresh Enabled Video Analytics (REVA) : Implications on power and performance of DRAM supported embedded visual systems. 2014 32nd IEEE International Conference on Computer Design, ICCD 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 501-504 (2014 32nd IEEE International Conference on Computer Design, ICCD 2014).

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

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.",

author = "Siddharth Advani and Nandhini Chandramoorthy and Karthik Swaminathan and Kevin Irick and Cho, {Yong Cheol Peter} and Jack Sampson and Vijaykrishnan Narayanan",

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Advani, S, Chandramoorthy, N, Swaminathan, K, Irick, K, Cho, YCP, 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., 6974727, 2014 32nd IEEE International Conference on Computer Design, ICCD 2014, Institute of Electrical and Electronics Engineers Inc., pp. 501-504, 32nd IEEE International Conference on Computer Design, ICCD 2014, Seoul, Korea, Republic of, 10/19/14. https://doi.org/10.1109/ICCD.2014.6974727

Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems. / Advani, Siddharth; Chandramoorthy, Nandhini; Swaminathan, Karthik et al.
2014 32nd IEEE International Conference on Computer Design, ICCD 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 501-504 6974727 (2014 32nd IEEE International Conference on Computer Design, ICCD 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Advani S, Chandramoorthy N, Swaminathan K, Irick K, Cho YCP, Sampson J et al. 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. Institute of Electrical and Electronics Engineers Inc. 2014. p. 501-504. 6974727. (2014 32nd IEEE International Conference on Computer Design, ICCD 2014). doi: 10.1109/ICCD.2014.6974727

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

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