DocumentCode
1786849
Title
REscope: High-dimensional statistical circuit simulation towards full failure region coverage
Author
Wei Wu ; Wenyao Xu ; Krishnan, Ram ; Yen-Lung Chen ; Lei He
Author_Institution
EE Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear
2014
fDate
1-5 June 2014
Firstpage
1
Lastpage
6
Abstract
Statistical circuit simulation is exhibiting increasing importance for circuit design under process variations. Existing approaches cannot efficiently analyze the failure probability for circuits with a large number of variation, nor handle problems with multiple disjoint failure regions. The proposed rare event microscope (REscope) first reduces the problem dimension by pruning the parameters with little contribution to circuit failure. Furthermore, we applied a nonlinear classifier which is capable of identifying multiple disjoint failure regions. In REscope, only likely-to-fail samples are simulated then matched to a generalized pareto distribution. On a 108-dimension charge pump circuit in PLL design, REscope outperforms the importance sampling and achieves more than 2 orders of magnitude speedup compared to Monte Carlo. Moreover, it accurately estimates failure rate, while the importance sampling totally fails because failure regions are not correctly captured.
Keywords
Monte Carlo methods; Pareto distribution; charge pump circuits; circuit simulation; integrated circuit design; phase locked loops; Monte Carlo methods; PLL design; REscope; charge pump circuit; circuit design; failure region coverage; generalized Pareto distribution; high-dimensional statistical circuit simulation; importance sampling; multiple disjoint failure regions; nonlinear classifier; rare event microscope; Charge pumps; Circuit simulation; Integrated circuit modeling; Measurement; Monte Carlo methods; Phase locked loops; Support vector machines; Circuit simulation; Classification; Monte Carlo methods; Process variation; Yield Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
Conference_Location
San Francisco, CA
Type
conf
Filename
6881409
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