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DAC
2010
ACM

Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression

9 years 2 months ago
Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression
In this paper, we propose a novel multi-mode/multi-corner sparse regression (MSR) algorithm to build large-scale performance models of integrated circuits at multiple working modes and environmental corners. Our goal is to efficiently extract multiple performance models to cover different modes/corners with a small number of simulation samples. To this end, an efficient Bayesian inference with shared prior distribution (i.e., model template) is developed to explore the strong performance correlation among different modes/corners in order to achieve high modeling accuracy with low computational cost. Several industrial circuit examples demonstrate that the proposed MSR achieves up to 185
Wangyang Zhang, Tsung-Hao Chen, Ming Yuan Ting, Xi
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where DAC
Authors Wangyang Zhang, Tsung-Hao Chen, Ming Yuan Ting, Xin Li
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