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Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits

Publication ,  Conference
Sun, S; Li, X; Gu, C
Published in: Proceedings of the Custom Integrated Circuits Conference
November 7, 2013

Efficient high-dimensional performance modeling of nanoscale analog and mixed signal (AMS) circuits is extremely challenging. In this paper, we propose a novel structure-aware modeling (SAM) technique. The key idea of SAM is to accurately solve the model coefficients by applying an efficient statistical algorithm to exploit the underlying structure of AMS circuits. As a result, SAM dramatically reduces the required number of sampling points and, hence, the computational cost for performance modeling. Several circuit examples designed in a commercial 32nm CMOS process demonstrate that SAM achieves more than 2× runtime speedup over the traditional sparse regression technique without surrendering any accuracy. © 2013 IEEE.

Duke Scholars

Published In

Proceedings of the Custom Integrated Circuits Conference

DOI

ISSN

0886-5930

Publication Date

November 7, 2013
 

Citation

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Sun, S., Li, X., & Gu, C. (2013). Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits. In Proceedings of the Custom Integrated Circuits Conference. https://doi.org/10.1109/CICC.2013.6658463
Sun, S., X. Li, and C. Gu. “Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits.” In Proceedings of the Custom Integrated Circuits Conference, 2013. https://doi.org/10.1109/CICC.2013.6658463.
Sun S, Li X, Gu C. Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits. In: Proceedings of the Custom Integrated Circuits Conference. 2013.
Sun, S., et al. “Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits.” Proceedings of the Custom Integrated Circuits Conference, 2013. Scopus, doi:10.1109/CICC.2013.6658463.
Sun S, Li X, Gu C. Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits. Proceedings of the Custom Integrated Circuits Conference. 2013.

Published In

Proceedings of the Custom Integrated Circuits Conference

DOI

ISSN

0886-5930

Publication Date

November 7, 2013