Hybrid importance sampling Monte Carlo approach for yield estimation in circuit design

Author:

Tyagi Anuj K.,Jonsson Xavier,Beelen Theo G. J.,Schilders Wil H. A.

Funder

FP7 People: Marie-Curie Actions

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference25 articles.

1. Tyagi AK, Jonsson X, Beelen TGJ, Schilders WHA. Speeding up rare event simulations using Kriging models. In: Proceedings of IEEE 21st workshop on signal and power integrity (SPI). Baveno: IEEE; 2017.

2. Ciampolini L, Lafont J-C, Drissi FT, Morin J-P, Turgis D, Jonsson X, Desclèves C, Nguyen J. Efficient yield estimation through generalized importance sampling with application to NBL-assisted SRAM bitcells. In: Proceedings of the 35th international conference on computer-aided design. ICCAD ’16. New York: ACM; 2016.

3. Haldar A, Mahadevan S. Probability, reliability and statistical methods in engineering design. New York: Wiley; 2000.

4. Singhee A, Rutenbar RA. Statistical blockade: very fast statistical simulation and modeling of rare circuit events and its application to memory design. IEEE Trans Comput-Aided Des Integr Circuits Syst. 2009;28(8):1176–89.

5. Santner T, Williams B, Notz W. The design and analysis of computer experiments. Berlin: Springer; 2003.

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