Low-power reconfigurable signal processing via dynamic algorithm transformations (DAT)

Manish Goel, Naresh R. Shanbhag

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

Abstract

Presented in this paper are dynamic algorithm transformations (DAT) for systematic design of reconfigurable computing engines. These techniques allow dynamic alteration of algorithm properties in response to input non-stationarities. The input is modeled as a set of states with an underlying probability distribution, /spl Pscr//sub S/. For each input state s, a signal monitoring algorithm (SMA) computes a power-optimal configuration for the signal processing algorithm (SPA) block. A fraction /spl alpha/ of the (SPA) block is hardwired and the remaining (1-/spl alpha/) is reconfigurable. Similarly, the (SMA) block computation is partitioned into a fraction /spl beta/ for the memory and the remaining (1-/spl beta/) for the data path. For the given input state distribution, the optimal values of /spl alpha/ (/spl alpha//sub opt/) and /spl beta/ (/spl beta//sub opt/) are determined. It is shown that for frequency selective filtering (FIR filters), the power savings of 35%-45% can be achieved by a DAT-based reconfigurable system as compared to the traditional design based on the worst-case scenario.

Original languageEnglish (US)
Title of host publicationProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3081-3084
Number of pages4
ISBN (Print)0780344286, 9780780344280
DOIs
StatePublished - 1998
Event1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998 - Seattle, WA, United States
Duration: May 12 1998May 15 1998

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Other

Other1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Country/TerritoryUnited States
CitySeattle, WA
Period5/12/985/15/98

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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