DocumentCode
1934721
Title
Power-Aware Control Flow Checking Compilation: Using Less Branches to Reduce Power Dissipation
Author
Wu, Yan-Xia ; Gu, Guo-chang ; Wang, Ke-Hui
Author_Institution
Harbin Eng. Univ., Harbin
Volume
5
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2986
Lastpage
2989
Abstract
Satellite-borne embedded systems require the properties of low-powered and reliability in the spatial radiation environment. The control flow checking is an effective way for the running systems to prevent the broken-down caused by Single Event Upsets. Traditional software control flow checking uses a great deal of branch instructions to detect errors, thus brings great overhead in power dissipation. In this paper, a partition method of basic block is suggested. In this partition method, branch instructions are reduced greatly, while the high error detection coverage remain ensure. The simulated results show that compared with the traditional Control Flow Checking by Software Signatures(CFCSS) control flow checking algorithm, the Improved algorithm can reduce total branch instructions by over 10%, reduce the power dissipation by nearly 9%, without decreasing the error detection coverage.
Keywords
artificial satellites; embedded systems; power aware computing; program compilers; program diagnostics; branch instruction; error detection; partition method; power-aware software control flow checking; satellite-borne embedded system; single event upset; software compilation; software signature; spatial radiation environment; Control systems; Cybernetics; Error correction; Fault tolerance; Hardware; Machine learning; Partitioning algorithms; Power dissipation; Power system reliability; Software algorithms; Base node; Control flow checking; Control flow graph; Low power dissipation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370659
Filename
4370659
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