A New Critical Variable Analysis in Processor-Based Systems

Determining the dependability of integrated systems with respect to soft errors is necessary for a growing number of applications. The most critical information must be identified to achieve good efficiency/cost trade-offs when selective hardening is necessary. In processor-based systems, the most c...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on nuclear science Vol. 57; no. 4; pp. 1992 - 1999
Main Authors: Bergaoui, Salma, Vanhauwaert, Pierre, Leveugle, Regis
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Algorithms
Application software
Applications programs
Circuit faults
Costs
Counting circuits
Critical variables
criticality analysis
Data analysis
dependability
Engineering Sciences
Faults
Hardening
Land surface temperature
Micro and nanotechnologies
Microelectronics
microprocessor-based systems
Microprocessors
Ocean temperature
register criticality
Registers
Sea level
Soft errors
Tradeoffs
microprocessor-chips
ISSN:0018-9499, 1558-1578
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Determining the dependability of integrated systems with respect to soft errors is necessary for a growing number of applications. The most critical information must be identified to achieve good efficiency/cost trade-offs when selective hardening is necessary. In processor-based systems, the most critical variables and registers must thus be identified for the target application program. An improved algorithm for critical register identification is described and compared to previous work. Fault injection results in a system based on Leon2 are also reported. They demonstrate the impact of micro-architectural characteristics on evaluating the real criticality of the register file. New refinements are suggested for further work based on data dependency analysis.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2010.2043540