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Runtime Asynchronous Fault Tolerance via Speculation Yun Zhang Soumyadeep Ghosh Jialu Huang
 

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

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-

  

Source: August, David - Department of Computer Science, Princeton University

 

Collections: Computer Technologies and Information Sciences