Accurate and Scalable IO Buffer Macromodel Based on Surrogate Modeling

Author

Zhu, Ting ; Steer, Michael B. ; Franzon, Paul D.

Author_Institution

Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA

Volume

1

Issue

8

fYear

2011

Firstpage

1240

Lastpage

1249

Abstract

In this paper, a new method is proposed to generate accurate and scalable macromodels for input/output buffers. The method characterizes the physically based model elements with adaptive multivariate surrogate modeling techniques in order to achieve high fidelity and process-voltage-temperature scalability. Both single-ended and differential output buffer circuit examples demonstrate that the proposed modeling method offers good accuracy and flexible scalability to facilitate signal integrity analysis.

Keywords

buffer circuits; circuit reliability; adaptive multivariate surrogate modeling techniques; differential output buffer circuit; input-output buffers; physically based model elements; process-voltage-temperature scalability; scalable IO buffer macromodel; signal integrity analysis; single-ended output buffer circuit; Adaptation models; Computational modeling; Integrated circuit modeling; Mathematical model; Semiconductor device modeling; Semiconductor process modeling; IBIS; input/output buffer modeling; macromodel; process–voltage—temperature variations; surrogate modeling;

fLanguage

English

Journal_Title

Components, Packaging and Manufacturing Technology, IEEE Transactions on

Publisher

ieee

ISSN

2156-3950

Type

jour

DOI

10.1109/TCPMT.2011.2138704

Filename

5953496