Dynamic bandwidth adaptation using recognition accuracy prediction through pre-classification for embedded vision systems

Yang Xiao, Chuanjun Zhang, Kevin Irick, Vijaykrishnan Narayanan

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

Abstract

Empowered by the massive growth of camera enabled mobile devices; mobile applications that allow users to perceive and experience the world in richer and more engaging ways have emerged at tremendous pace. As more complex perception algorithms are developed to take advantage of higher resolution imagery, future mobile applications will require application specific accelerators to maintain performance required for interactive user experiences. A key challenge in these accelerator-rich mobile platforms will be guaranteeing the off-chip memory bandwidth required by each accelerator. Device integration techniques such as Package on Package and Wide-IO seek to tackle the memory wall problem by reducing bottlenecks at the I/O interfaces. However, less effort has been focused on solving the bandwidth problem by dynamically leveraging the individual and collective bandwidth characteristics of accelerators operating concurrently. This work investigates the off-chip bandwidth characteristics of accelerators in the context of embedded perceptual computing applications. A bandwidth aware feedback system is proposed that dynamically partitions available bandwidth among a set of accelerators at the expense of application accuracy. As a case study, the proposed adaption policy is applied to a biologically-inspired scene understanding application. Results indicate that the system maintains good accuracy while requiring only 25% of the original bandwidth.

Original languageEnglish (US)
Title of host publication2013 IEEE 31st International Conference on Computer Design, ICCD 2013
PublisherIEEE Computer Society
Pages20-25
Number of pages6
ISBN (Print)9781479929870
DOIs
StatePublished - Jan 1 2013
Event2013 IEEE 31st International Conference on Computer Design, ICCD 2013 - Asheville, NC, United States
Duration: Oct 6 2013Oct 9 2013

Publication series

Name2013 IEEE 31st International Conference on Computer Design, ICCD 2013

Other

Other2013 IEEE 31st International Conference on Computer Design, ICCD 2013
CountryUnited States
CityAsheville, NC
Period10/6/1310/9/13

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture

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    Xiao, Y., Zhang, C., Irick, K., & Narayanan, V. (2013). Dynamic bandwidth adaptation using recognition accuracy prediction through pre-classification for embedded vision systems. In 2013 IEEE 31st International Conference on Computer Design, ICCD 2013 (pp. 20-25). [6657020] (2013 IEEE 31st International Conference on Computer Design, ICCD 2013). IEEE Computer Society. https://doi.org/10.1109/ICCD.2013.6657020