Impact of software approximations on the resiliency of a video summarization system

Radha Venkatagiri, Karthik Swaminathan, Chung Ching Lin, Liang Wang, Alper Buyuktosunoglu, Pradip Bose, Sarita Adve

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

Abstract

In this work, we examine the resiliency of a state-of-the-art end-to-end video summarization (VS) application that serves as a representative emerging workload in the domain of real time edge computing. The VS application constitutes key video and image analytic elements that are processed by embedded systems aboard unmanned aerial vehicles (UAVs). Real-time performance and energy constraints motivate the consideration of approximations to the VS algorithm. However, mission-critical UAV applications also demand stringent levels of resilience to soft errors that are exacerbated with higher altitude. In this work, we study the effects of three different types of software approximations on the application level resiliency (to soft errors) of the VS algorithm. We show that our approximations yield significant energy savings (up to 68%), with commensurate improvement in performance, without a degradation in the application resilience. Further, by proposing a novel quality metric (appropriate for the UAV vision analytics domain) for the summarized video output, we show that even though the rate of Silent Data Corruptions (SDCs) increases slightly (<2%), the impact of these SDCs on output quality is limited. Thus, we conclude that software approximation can be utilized to achieve significant gains in performance and energy without affecting application resiliency.

Original languageEnglish (US)
Title of host publicationProceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages598-609
Number of pages12
ISBN (Electronic)9781538655955
DOIs
StatePublished - Jul 19 2018
Event48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018 - Luxembourg City, Luxembourg
Duration: Jun 25 2018Jun 28 2018

Publication series

NameProceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018

Other

Other48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
CountryLuxembourg
CityLuxembourg City
Period6/25/186/28/18

Keywords

  • Approximate Computing
  • Hardware Resiliency
  • Real time vision analytics
  • Soft errors

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology

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