Paper Info
Title
Guided Probabilistic Checksums for Error Control in Low-Power Digital Filters
Abstract
In many DSP applications (image and voice processing), several dBs of SNR loss can be tolerated without noticeable impact on application level performance. For power optimization in such applications, voltage overscaling (VOS) can be used to operate the arithmetic circuitry at or marginally below the critical circuit path delay while incurring tolerable SNR loss due to the resulting periodic errors in computation. In this paper, low cost checksum codes are used for detection and compensation of intermittent errors due to voltage overscaling in linear digital filters. In traditional coding theory, diagnosis of errors is a key problem and incurs significant computation and latency cost. In the proposed approach, low-precision shadow latches are used to identify likely sources of errors due to voltage overscaling to avoid error diagnosis. This allows accurate error compensation with distance-2 checksum codes that are normally good only for error detection but not for correction. Very precise compensation is achieved by distributing the negative of the error value evenly across only the likely erroneous states. This is called guided probabilistic compensation, as compensation is not exact when errors occur simultaneously in more than one state. A feedback controller is used for dynamic voltage overscaling (DVOS) while keeping the error rate in the system within an acceptable range. It is shown that the low cost accurate error compensation allows significant power savings with minimal degradation in system performance (SNR).
Year
DOI
Venue
2011
10.1109/TC.2010.277
IEEE Trans. Computers
Keywords
Field
DocType
dynamic voltage overscaling,low-power digital filters,error detection,error control,intermittent error,periodic error,guided probabilistic checksums,accurate error compensation,error value,precise compensation,probabilistic compensation,error diagnosis,error rate,decision support system,low power electronics,digital filter,error correction code,system performance,digital filters,power optimization,decision support systems,coding theory
Digital signal processing,Checksum,Power optimization,Computer science,Control theory,Word error rate,Real-time computing,Error detection and correction,Coding theory,Probabilistic logic,Low-power electronics
Journal
Volume
Issue
ISSN
60
9
0018-9340
Citations 
PageRank 
References 
4
0.49
17
Authors
2
Name
Order
Citations
PageRank
Muhammad Mudassar Nisar1172.58
Abhijit Chatterjee21949269.99