Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9583
Title: A user-assisted thread-level vulnerability assessment tool
Authors: Öz, Işıl
Topçuoğlu, Haluk Rahmi
Tosun, Oğuz
Keywords: Fault injection
Fault tolerance
Multicore architectures
Reliability
Thread vulnerability
Issue Date: 2019
Publisher: Wiley
Abstract: The system reliability becomes a critical concern in modern architectures with the scale down of circuits. To deal with soft errors, the replication of system resources has been used at both hardware and software levels. Since the redundancy causes performance degradation, it is required to explore partial redundancy techniques that replicate the most vulnerable parts of the code. The redundancy level of user applications depends on user preferences and may be different for the users with different requirements. In this work, we propose a user-assisted reliability assessment tool based on critical thread analysis for redundancy in parallel architectures. Our analysis evaluates the application threads of a parallel program by considering their criticality in the execution and selects the most critical thread or threads to be replicated. Moreover, we extend our analysis by exploring critical regions of individual threads and execute redundantly only those regions to reduce redundancy overhead. Our experimental evaluation indicates that the replication of the most critical thread improves the system reliability more (up to 10% for blackscholes application) than the replication of any other thread. The partial thread replication based on critical region analysis also reduces the vulnerability of the system by considering a fine-grained approach.
URI: https://doi.org/10.1002/cpe.5085
https://hdl.handle.net/11147/9583
ISSN: 1532-0626
1532-0634
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
Concurrency and Computation.pdf1.3 MBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

1
checked on Mar 1, 2024

WEB OF SCIENCETM
Citations

1
checked on Mar 2, 2024

Page view(s)

502
checked on Mar 4, 2024

Download(s)

96
checked on Mar 4, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.