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 in | IEEE transactions on nuclear science Vol. 57; no. 6; pp. 3768 - 3774 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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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 ). |
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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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