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2016

Harvesting Design Knowledge From the Internet: High-Dimensional Performance Tradeoff Modeling for Large-Scale Analog Circuits

3 years 6 months ago
Harvesting Design Knowledge From the Internet: High-Dimensional Performance Tradeoff Modeling for Large-Scale Analog Circuits
—Efficiently optimizing large-scale, complex analog systems requires to know the performance tradeoffs for various analog circuit blocks. In this paper, we propose a radically new approach for analog performance tradeoff modeling. Our key idea is to broadly search the rich design knowledge from the Internet, and then mathematically encode the knowledge as high-dimensional performance tradeoff curves that are referred to as Pareto fronts in the literature. Toward this goal, several novel numerical algorithms, such as sparse regression and semi-infinite programming, are developed in order to construct the high-dimensional Pareto front model while guaranteeing its monotonicity. Our numerical examples demonstrate that the proposed modeling technique can accurately capture the high-dimensional Pareto fronts for large-scale analog systems (e.g., analog-to-digital converter) while most traditional methods are limited to low-dimensional Pareto front modeling of small circuit blocks without...
Jun Tao, Changhai Liao, Xuan Zeng, Xin Li 0001
Added 10 Apr 2016
Updated 10 Apr 2016
Type Journal
Year 2016
Where TCAD
Authors Jun Tao, Changhai Liao, Xuan Zeng, Xin Li 0001
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