报告题目：Model Order Reduction in Interconnect Analysis
报告时间：8月6日10:00-11:30
报告地点：研教楼610
报告人：复旦大学必赢3003am 苏仰锋教授
内容简介：In the first part of this talk, we introduce our new model order reduction algorithms in VLSI interconnect analysis. These algorithms include: SOAR (second order Arnoldi) and SAPOR algorithms for RCS circuit, IOPOR (Input-output preservation order reduction) algorithm for RLC circuit synthesis, PIMTAP (parameterized interconnect macromodelling two-directional Arnoldi process) algorithm for circuit with variation, etc.
In the second part, we propose an efficient Aggregation-based Model Order Reduction method (AMOR) for many-port interconnect circuits. The proposed AMOR method is based on observation that those nodes of interconnect circuits with almost the same voltage can be aggregated together as a “super node” while the input-output characteristics of the network is not significantly changed. Motivated by such an idea, we use an efficient resistance-distance- based spectral clustering method in AMOR method to partition the nodes into clusters with almost the same voltages. The reduced-order model is then obtained by aggregating the nodes within clusters together as “super nodes” in AMOR method. The efficiency of AMOR method is not limited by the numbers of terminals of the networks. Numerical results have demonstrated that the reduced-order models obtained by AMOR can achieve higher simulation efficiency in terms of accuracy and CPU time than the reduced-order models obtained by the state-of-the-art elimination based methods.
Our ongoing work will also be introduced.
