2014
DOI: 10.1016/j.microrel.2013.12.002
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A compact model for NBTI degradation and recovery under use-profile variations and its application to aging analysis of digital integrated circuits

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Cited by 35 publications
(7 citation statements)
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“…Though traditional transistor aging models are accurate, they are too slow for analyzing large ICs. To solve this problem, research has been undertaken to analyze HCI and NBTI and the factors influencing them, and to develop timing models and algorithms for aging analysis on gate level, leading to a speedup of aging analysis by orders of magnitude [54], [55], [56], [57], [58], [59], [60], [61]. The AgeGate model [53], [62], [63] is probably still the state of the art in gate-level aging analysis today.…”
Section: Agingmentioning
confidence: 99%
“…Though traditional transistor aging models are accurate, they are too slow for analyzing large ICs. To solve this problem, research has been undertaken to analyze HCI and NBTI and the factors influencing them, and to develop timing models and algorithms for aging analysis on gate level, leading to a speedup of aging analysis by orders of magnitude [54], [55], [56], [57], [58], [59], [60], [61]. The AgeGate model [53], [62], [63] is probably still the state of the art in gate-level aging analysis today.…”
Section: Agingmentioning
confidence: 99%
“…Lastly, dynamic variations have to be taken into account since this model will be used on-line. To handle voltage variations, we applied a similar method to the one in [13], as depicted in Figure 10. At a voltage change from 1 to 2 , firstly ∆ ℎ ( 1 , 1 ) is calculated, where 1 is the time spent at 1 .…”
Section: Applicationmentioning
confidence: 99%
“…Library-based and LUT-based aging techniques are presented in [69,68,19,70,30]. The impact of workload on aging, and runtime variations are analyzed in [71,19] and [68], respectively. To compute the mutual effects of NBTI, PBTI and HCI, different techniques such as [72,34] are proposed.…”
Section: Pvta Profilingmentioning
confidence: 99%
“…For PVTA analysis, we mainly use the models/methods presented in [70,24,66,67,19,75,69,32,30,68,66,80,81,71]. According to Fig.…”
Section: Top-down Pvta Profilingmentioning
confidence: 99%
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