Benefits of Partitioning in a Projection-based and Realizable Model-order Reduction Flow

被引:1
|
作者
Miettinen, Pekka [1 ]
Honkala, Mikko [1 ]
Roos, Janne [2 ]
Valtonen, Martti [1 ]
机构
[1] Aalto Univ, Dept Radio Sci & Engn, Sch Elect Engn, FI-00076 Aalto, Finland
[2] AWR APLAC Corp, FI-02600 Espoo, Finland
关键词
Verification simulation; Interconnect modeling; Model-order reduction; Partitioning; CIRCUITS; DESIGN;
D O I
10.1007/s10836-014-5451-y
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Model-order reduction (MOR) is a typical approach to speed up the post-layout verification simulation step in circuit design. This paper studies the benefits of using circuit partitioning in a complete MOR flow. First, an efficient reduction algorithm package comprising of partitioning, reduction, and realization parts is presented. The reduction flow is then discussed using theoretical analysis and simulations from an array of 65-nm technology node interconnect circuits. It is shown that the reduction efficiency and computational costs quickly worsen with increased circuit size when using a direct projection-based MOR approach. In contrast, by using partitioning, the MOR can retain the scalability of the reduction problem, being computationally lighter and more efficient even with larger circuits. In addition, using partitioning may improve the robustness of the MOR flow in cases with circuits with many ports or sensitive verification simulations.
引用
收藏
页码:271 / 285
页数:15
相关论文
共 50 条
  • [31] Quantum element method for quantum eigenvalue problems derived from projection-based model order reduction
    Cheng, Ming-C.
    AIP ADVANCES, 2020, 10 (11)
  • [32] Stability criteria for Arnoldi-based model-order reduction
    Elfadel, IM
    Silveira, LM
    White, J
    1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 2642 - 2645
  • [33] Efficient Simulation of Nonlinear Transmission Lines using Empirical Interpolation and Projection-Based Model Order Reduction
    Nouri, Behzad
    Nakhla, Michel
    2018 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM - IMS, 2018, : 87 - 89
  • [34] On the benefits of a multiscale domain decomposition method to model-order reduction for frictional contact problems
    Zeka, D.
    Guidault, P. -A.
    Neron, D.
    Guiton, M.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 429
  • [35] Fast Transient Analysis of Tightly Coupled Interconnects via Overlapping Partitioning and Model-Order Reduction
    Farhan, Mina A.
    Nakhla, Natalie M.
    Nakhla, Michel S.
    Achar, Ramachandra
    IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2014, 4 (10): : 1648 - 1656
  • [36] Projection-based model reduction: Formulations for physics-based machine learning
    Swischuk, Renee
    Mainini, Laura
    Peherstorfer, Benjamin
    Willcox, Karen
    COMPUTERS & FLUIDS, 2019, 179 : 706 - 719
  • [37] Structured Projection-Based Model Reduction With Application to Stochastic Biochemical Networks
    Sootla, Aivar
    Anderson, James
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (11) : 5554 - 5566
  • [38] A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
    Benner, Peter
    Gugercin, Serkan
    Willcox, Karen
    SIAM REVIEW, 2015, 57 (04) : 483 - 531
  • [39] Vector Fitting-Based Calculation of Frequency-Dependent Network Equivalents by Frequency Partitioning and Model-Order Reduction
    Ramirez, Abner
    IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (01) : 410 - 415
  • [40] A comparison of projection-based model reduction concepts in the context of nonlinear biomechanics
    Annika Radermacher
    Stefanie Reese
    Archive of Applied Mechanics, 2013, 83 : 1193 - 1213