A Power Efficient System Design Methodology Employing Approximate Arithmetic Units

Tuba Ayhan, Firat Kula, Mustafa Altun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In this work a power efficient approximate system design methodology is introduced and its performance is demonstrated by a 2D-DCT implementation on Spartan 3 FPGA. The method is applicable to any system with arithmetic computation regardless of their architecture, because it utilizes the existing approximate arithmetic units. The novelty of the proposed method is its system analysis approach starting from the highest level and exploring through the sub-blocks down to the basic arithmetic units. It first evaluates a given system block diagram and sets the desired performance limits of each processing block to achieve the desired ultimate quality metric. Then, the arithmetic power consumption is minimized by employing the appropriate arithmetic units which are chosen by linear/non-linear programming with linear constraint solver. The tests on 2D-DCT implementation show a power reduction of 8% for a 0.01 dB PSNR loss for 128x128 images, on the average.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
EditorsRicardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros
PublisherIEEE Computer Society
Pages243-248
Number of pages6
ISBN (Electronic)9781509067626
DOIs
Publication statusPublished - 20 Jul 2017
Event2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 - Bochum, North Rhine-Westfalia, Germany
Duration: 3 Jul 20175 Jul 2017

Publication series

NameProceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume2017-July
ISSN (Print)2159-3469
ISSN (Electronic)2159-3477

Conference

Conference2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Country/TerritoryGermany
CityBochum, North Rhine-Westfalia
Period3/07/175/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • approximate adders
  • Approximate computing
  • DCT
  • JPEG encoder
  • low-power digital systems

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