Advances in multimedia digital signal processing (DSP), wireless communication systems, integrated circuit technology and portability requirements have fuelled research into the design of energy-efficient deep submicron (DSM) systems. Noise has emerged as a problem of significance for design in the DSM regime. This research addresses the dual challenge of designing reliable and energy-efficient DSP systems in the presence of DSM noise. Three coupled approaches are being explored: 1) algorithmic noise-tolerance (ANT) that employs stochastic signal processing techniques to combat DSM noise, 2) noise-tolerant dynamic circuit design techniques that provide noise-immunity with minimal energy penalty and 3) a CAD methodology that optimally folds the results of 1) and 2) in order to achieve a specified degree of system reliability and energy-efficiency.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
0000987
Program Officer
Sankar Basu
Project Start
Project End
Budget Start
1999-10-01
Budget End
2003-09-30
Support Year
Fiscal Year
2000
Total Cost
$313,966
Indirect Cost
Name
University of Illinois Urbana-Champaign
Department
Type
DUNS #
City
Champaign
State
IL
Country
United States
Zip Code
61820