Paper Info
Title
nZDC: a compiler technique for near zero silent data corruption.
Abstract
Exponentially growing rate of soft errors makes reliability a major concern in modern processor design. Since software-oriented approaches offer flexible protection even in off-the-shelf processes, they are attractive solutions in protecting against soft errors. Among such approaches, in-application instruction duplication based approaches have been widely used and are deemed to be the most effective. Such techniques duplicate the program assembly instructions and periodically check the results to identify possible errors. Even though early reports suggest that these achieve close to 100% protection from soft errors, we find several gaps in the protection. Existing techniques are unable to protect several important microarchitectural components, as well as a significant fraction of instructions, resulting in Silent Data Corruptions (SDCs). This paper presents nZDC or near Zero silent Data Corruption -- an effective instruction duplication based approach to protect programs from soft errors. Extensive fault injection experiments on almost all the unprotected microarchitectural components in simulated ARM Cortex A53, while executing benchmarks fromMiBench suite, demonstrate that nZDC is extremely effective, without incurring any more performance penalty than the state-of-the-art.
Year
DOI
Venue
2016
10.1145/2897937.2898054
DAC
Keywords
Field
DocType
nZDC,compiler technique,zero silent data corruption,processor design,software-oriented approaches,soft errors,in-application instruction duplication based approaches,microarchitectural component protection,SDC,simulated ARM,Cortex A53,MiBench suite
ARM architecture,Suite,Computer science,Instruction set,Electronic engineering,Real-time computing,Compiler,Processor design,Fault injection,Benchmark (computing),Embedded system,Microarchitecture
Conference
ISBN
Citations 
PageRank 
978-1-4673-8730-9
11
0.55
References 
Authors
19
2
Name
Order
Citations
PageRank
Moslem Didehban1163.33
Aviral Shrivastava281268.67