Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Soft Errors in Advanced Computer Systems
IEEE Design & Test
SoftArch: An Architecture Level Tool for Modeling and Analyzing Soft Errors
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
Characterizing Microarchitecture Soft Error Vulnerability Phase Behavior
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Examining ACE analysis reliability estimates using fault-injection
Proceedings of the 34th annual international symposium on Computer architecture
Mechanisms for bounding vulnerabilities of processor structures
Proceedings of the 34th annual international symposium on Computer architecture
Dynamic prediction of architectural vulnerability from microarchitectural state
Proceedings of the 34th annual international symposium on Computer architecture
Selective replication: A lightweight technique for soft errors
ACM Transactions on Computer Systems (TOCS)
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Soft error rates are estimated based on worst-case architectural vulnerability factor (AVF). Therefore, it makes tracking real-time accurate AVF very attractive to computer designers: more accurate AVF numbers will allow turning on more features at runtime while keeping the promised SDC and DUE rates. This paper presents a hardware mechanism based on linear regressions to estimate the AVF (SDC and DUE) of the register file for out-of-order cores. Our results show that we are able to have a high correlation factor at low cost.