DocumentCode :
648695
Title :
Examining Thread Vulnerability analysis using fault-injection
Author :
Oz, Isil ; Topcuoglu, Haluk Rahmi ; Kandemir, Mahmut ; Tosun, O.
Author_Institution :
Comput. Eng. Dept., Bogazici Univ., Istanbul, Turkey
fYear :
2013
fDate :
7-9 Oct. 2013
Firstpage :
240
Lastpage :
245
Abstract :
With the scale down of transistor sizes and higher frequencies with low power modes in modern architectures, the chip components become more susceptible to transient errors. Concurrently, multicore machines are replacing traditional single-core machines in most application domains. Thread Vulnerability Factor (TVF) is a metric to evaluate relative soft error vulnerability of multithreaded applications running on multicore architectures. It makes possible vulnerability analysis of parallel programs by providing comparisons between them. In this work, we design a simulation-based fault-injection framework to evaluate soft error vulnerability of parallel applications and perform a validation study to evaluate parallel program vulnerability. The results of the simulation-based fault injection framework is compared with the results based on TVF analysis. Our results demonstrate that TVF provides an efficient vulnerability analysis by having the same ordering and similar vulnerability rates with fault-injection results for a set of multithreaded applications.
Keywords :
fault diagnosis; multi-threading; multiprocessing systems; parallel programming; TVF analysis; chip components; low power modes; multicore architectures; multicore machines; multithreaded applications; parallel program vulnerability; relative soft error vulnerability evaluation; simulation-based fault-injection framework; single-core machines; thread vulnerability factor analysis; transient errors; transistor sizes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Very Large Scale Integration (VLSI-SoC), 2013 IFIP/IEEE 21st International Conference on
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/VLSI-SoC.2013.6673282
Filename :
6673282
Link To Document :
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