Two-Dimensional Markov Chain Analysis of Radiation-Induced Soft Errors in Subthreshold Nanoscale CMOS Devices

Radiation-induced soft errors have been a reliability concern for logic integrated circuits since their emergence. Feature-size and supply-voltage reduction require the analysis of soft-error sensitivity as a function of technology scaling. In this paper, an analytical framework based on Markov chai...

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Published inIEEE transactions on nuclear science Vol. 57; no. 6; pp. 3768 - 3774
Main Authors Jannaty, P, Sabou, F C, Gadlage, M, Bahar, R I, Mundy, J, Patterson, W, Reed, R A, Weller, R A, Schrimpf, R D, Zaslavsky, A
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract Radiation-induced soft errors have been a reliability concern for logic integrated circuits since their emergence. Feature-size and supply-voltage reduction require the analysis of soft-error sensitivity as a function of technology scaling. In this paper, an analytical framework based on Markov chains and queue theory is presented for computation of alpha-particle-induced soft-error rates of a flip-flop operated in the subthreshold regime. The proposed framework is capable of reflecting the technology parameters such as supply voltage Vdd, channel length, process-induced threshold variation, and operating temperature. As an example, the framework is used to investigate the mean time to error of flip-flops built in a 32 nm fully-depleted silicon-on-insulator technology operating in the subthreshold regime subject to two limiting fluxes of alpha particle radiation: high at 100 (α/h.cm 2 ) and ultra-low alpha (ULA) emission 0.002 (α/h.cm 2 ).
AbstractList Radiation-induced soft errors have been a reliability concern for logic integrated circuits since their emergence. Feature-size and supply-voltage reduction require the analysis of soft-error sensitivity as a function of technology scaling. In this paper, an analytical framework based on Markov chains and queue theory is presented for computation of alpha-particle-induced soft-error rates of a flip-flop operated in the subthreshold regime. The proposed framework is capable of reflecting the technology parameters such as supply voltage [Formula Omitted], channel length, process-induced threshold variation, and operating temperature. As an example, the framework is used to investigate the mean time to error of flip-flops built in a 32 nm fully-depleted silicon-on-insulator technology operating in the subthreshold regime subject to two limiting fluxes of alpha particle radiation: high at 100 [Formula Omitted] and ultra-low alpha (ULA) emission 0.002 [Formula Omitted].
Radiation-induced soft errors have been a reliability concern for logic integrated circuits since their emergence. Feature-size and supply-voltage reduction require the analysis of soft-error sensitivity as a function of technology scaling. In this paper, an analytical framework based on Markov chains and queue theory is presented for computation of alpha-particle-induced soft-error rates of a flip-flop operated in the subthreshold regime. The proposed framework is capable of reflecting the technology parameters such as supply voltage Vdd, channel length, process-induced threshold variation, and operating temperature. As an example, the framework is used to investigate the mean time to error of flip-flops built in a 32 nm fully-depleted silicon-on-insulator technology operating in the subthreshold regime subject to two limiting fluxes of alpha particle radiation: high at 100 (α/h.cm 2 ) and ultra-low alpha (ULA) emission 0.002 (α/h.cm 2 ).
Radiation-induced soft errors have been a reliability concern for logic integrated circuits since their emergence. Feature-size and supply-voltage reduction require the analysis of soft-error sensitivity as a function of technology scaling. In this paper, an analytical framework based on Markov chains and queue theory is presented for computation of alpha-particle-induced soft-error rates of a flip-flop operated in the subthreshold regime. The proposed framework is capable of reflecting the technology parameters such as supply voltage V dd , channel length, process-induced threshold variation, and operating temperature. As an example, the framework is used to investigate the mean time to error of flip-flops built in a 32 nm fully-depleted silicon-on-insulator technology operating in the subthreshold regime subject to two limiting fluxes of alpha particle radiation: high at 100 ( alpha / rm h . cm 2 ) and ultra-low alpha (ULA) emission 0.002 ( alpha / rm h . cm 2 ) .
Author Patterson, W
Zaslavsky, A
Bahar, R I
Reed, R A
Jannaty, P
Mundy, J
Sabou, F C
Weller, R A
Schrimpf, R D
Gadlage, M
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SubjectTerms Alpha particles
Alpha-particle radiation effects
Channels
CMOS devices
CMOS integrated circuits
Error analysis
Flip-flops
Logic
Logic devices
Markov chains
Markov processes
Mathematical analysis
Nanostructure
Operating temperature
Radiation effects
radiation effects in devices
reliability
Single event upset
Soft errors
SRAM chips
SRAMs
Title Two-Dimensional Markov Chain Analysis of Radiation-Induced Soft Errors in Subthreshold Nanoscale CMOS Devices
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