2014ACM Journal on Emerging Technologies in Computing SystemsRequires access

Critical-reliability path identification and delay analysis

Jifeng Chen, Shuo Wang, Mohammad Tehranipoor

Open publisher page 14 citations

Abstract

Circuit reliability analysis at the presilicon stage has become vital for sub-45nm technology designs in particular, due to aging effects, such as Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI). To avoid potential reliability hazards in the postsilicon stage, current large-scale designs for commercial implementation overpessimistically analyze circuit aging under assumed worst-case workload in order not to violate the corner cases even for low possibilities, thus introducing unnecessary margin in the design timing analysis. The major issue is lack of an effective aging analysis method applicable to large designs with low CPU runtime, which is mainly due to: (1) conventional reliability tools are extremely time-consuming for circuit-level timing analysis and thus are not practical for large designs; (2) mathematical models developed to expedite the process are not accurate due to the high complexity of aging effects. In this article, a comprehensive analysis is presented to highlight the importance of each aging parameter. Then, a novel methodology is developed based on current commercial reliability tools to guarantee its high accuracy on circuit-level aging analysis. Existing proven low-level mathematical models are further enhanced to extensively speed up a higher level analysis by taking advantage of the explicit intermediate conditions stored in a pregenerated lookup table. Our results indicate ≥244 X improved computational efficiency, ≤5% relative error, and ≤0.7% absolute error compared with commercial reliability analysis tools (e.g., HSPICE MOSRA).

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What this paper is about

Circuit reliability analysis at the presilicon stage has become vital for sub-45nm technology designs in particular, due to aging effects, such as Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI). To avoid potential reliability hazards in the postsilicon stage, current large-scale designs for commercial implementation overpessimistically analyze circuit aging under assumed worst-case workload in order not to violate the corner cases even for low possibilities, thus introducing unnecessary margin in the design timing analysis. The major issue is lack of an effective aging analysis method applicable to large designs with low CPU runtime, which is mainly due to: (1) conventional reliability tools are extremely time-consuming for circuit-level timing analysis and thus are not practical for large designs; (2) mathematical models developed to expedite the process are not accurate due to the high complexity of aging effects. In this article, a comprehensive analysis is presented to highlight the importance of each aging parameter. Then, a novel methodology is developed based on current commercial reliability tools to guarantee its high accuracy on circuit-level aging analysis. Existing proven low-level mathematical models are further enhanced to extensively speed up a higher level analysis by taking advantage of the explicit intermediate conditions stored in a pregenerated lookup table. Our results indicate ≥244 X improved computational efficiency, ≤5% relative error, and ≤0.7% absolute error compared with commercial reliability analysis tools (e.g., HSPICE MOSRA).

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Available abstract

Circuit reliability analysis at the presilicon stage has become vital for sub-45nm technology designs in particular, due to aging effects, such as Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI). To avoid potential reliability hazards in the postsilicon stage, current large-scale designs for commercial implementation overpessimistically analyze circuit aging under assumed worst-case workload in order not to violate the corner cases even for low possibilities, thus introducing unnecessary margin in the design timing analysis. The major issue is lack of an effective aging analysis method applicable to large designs with low CPU runtime, which is mainly due to: (1) conventional reliability tools are extremely time-consuming for circuit-level timing analysis and thus are not practical for large designs; (2) mathematical models developed to expedite the process are not accurate due to the high complexity of aging effects. In this article, a comprehensive analysis is presented to highlight the importance of each aging parameter. Then, a novel methodology is developed based on current commercial reliability tools to guarantee its high accuracy on circuit-level aging analysis. Existing proven low-level mathematical models are further enhanced to extensively speed up a higher level analysis by taking advantage of the explicit intermediate conditions stored in a pregenerated lookup table. Our results indicate ≥244 X improved computational efficiency, ≤5% relative error, and ≤0.7% absolute error compared with commercial reliability analysis tools (e.g., HSPICE MOSRA).

Key concepts: Reliability (semiconductor), Reliability engineering, Computer science, Workload, Negative-bias temperature instability, Circuit reliability, Lookup table, Circuit design

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