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Transient Fault Tolerance for ccNUMA Architecture

Authors: Xingjun Zhang; Endong Wang; Feilong Tang 0001; Meishun Yang; Hengyi Wei; Xiaoshe Dong;

Transient Fault Tolerance for ccNUMA Architecture

Abstract

Transient fault is a critical concern in the reliability of microprocessors system. The software fault tolerance is more flexible and lower cost than the hardware fault tolerance. And also, as architectural trends point toward multi core designs, there is substantial interest in adapting parallel and redundancy hardware resources for transient fault tolerance. The paper proposes a process-level fault tolerance technique, a software centric approach, which efficiently schedule and synchronize of redundancy processes with ccNUMA processors redundancy. So it can improve efficiency of redundancy processes running, and reduce time and space overhead. The paper focuses on the researching of redundancy processes error detection and handling method. A real prototype is implemented that is designed to be transparent to the application. The test results show that the system can timely detect soft errors of CPU and memory that cause the redundancy processes exception, and meanwhile ensure that the services of application is uninterrupted and delay shortly.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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