2 Scopus citations

Abstract

Voltage scaling has proven to be very effective in reducing the power consumption of digital systems. However, voltage overscaling, ie., reducing the voltage below the critical voltage, introduces errors which have to be compensated by additional computations. In this paper, we propose the use of radix-2 redundant binary arithmetic (RBR) as an alternative for designing low power robust systems. We show that for large data widths, such systems have superior energy-delay product (EDP) and error performance compared to 2's complement based systems. However, for smaller data widths, the 2's complement system has better EDP performance, and in such cases, we propose a low complexity prediction technique to compensate for voltage overscaled errors. We evaluate the performance of the RBR system and the 2's complement system for two image processing kernels, namely, the Gaussian filter and DCT/IDCT. We show that the RBR system is the low power design choice for the Gaussian filter with 16 bits precision while the 2's complement system with most significant bit prediction is the low power design choice for the IDCT kernel.

Original languageEnglish (US)
Title of host publicationISLPED'09 - Proceedings of the 2009 ACM/IEEE International Symposium on Low Power Electronics and Design
Pages303-306
Number of pages4
DOIs
StatePublished - Nov 24 2009
Event2009 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED'09 - San Fancisco, CA, United States
Duration: Aug 19 2009Aug 21 2009

Publication series

NameProceedings of the International Symposium on Low Power Electronics and Design
ISSN (Print)1533-4678

Other

Other2009 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED'09
CountryUnited States
CitySan Fancisco, CA
Period8/19/098/21/09

Keywords

  • Algorithmic noise tolerance
  • Redundant binary arithmetic
  • Soft DSP

ASJC Scopus subject areas

  • Engineering(all)

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