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Summary: Runtime Asynchronous Fault Tolerance via Speculation
Yun Zhang Soumyadeep Ghosh Jialu Huang
Jae W. Lee
Scott A. Mahlke
David I. August
Princeton University, Princeton, New Jersey, USA
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SungKyunKwan University, Suwon, Korea
University of Michigan, Ann Arbor, Michigan, USA
ABSTRACT
Transient faults are emerging as a critical reliability concern in
modern microprocessors. Redundant hardware solutions are com-
monly deployed to detect transient faults, but they are less flexible
and cost-effective than software solutions. However, software so-
lutions are rendered impractical because of high performance over-
heads. To address this problem, this paper presents Runtime Asyn-
chronous Fault Tolerance via Speculation (RAFT), the fastest tran-
sient fault detection technique known to date. Serving as a layer
between the application and the underlying platform, RAFT auto-
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