Optimal design of JPEG hardware under the approximate computing paradigm

Farhana Sharmin Snigdha, Deepashree Sengupta, Jiang Hu, Sachin S Sapatnekar

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

17 Scopus citations

Abstract

JPEG compression based on the discrete cosine transform (DCT) is a key building block in low-power multimedia applications. We use approximate computing to exploit the error tolerance of JPEG and formulate a novel optimization problem that maximizes power savings under an error budget. We analyze the error propagation sensitivity in the DCT network and use this information to model the impact of introduced errors on the output quality. Simulations show up to 15% reduction in area and delay which corresponds to 40% power savings at iso-delay.

Original languageEnglish (US)
Title of host publicationProceedings of the 53rd Annual Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450342360
DOIs
StatePublished - Jun 5 2016
Event53rd Annual ACM IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: Jun 5 2016Jun 9 2016

Publication series

NameProceedings - Design Automation Conference
Volume05-09-June-2016
ISSN (Print)0738-100X

Other

Other53rd Annual ACM IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States
CityAustin
Period6/5/166/9/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

  • Approximate computing
  • Image compression
  • JPEG
  • Low-power design
  • Nonlinear optimization

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