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8 - Structure-preserving model order reduction

Published online by Cambridge University Press:  19 January 2010

Sheldon Tan
Affiliation:
University of California, Riverside
Lei He
Affiliation:
University of California, Los Angeles
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Summary

Introduction

The integrated circuit industry has continuously enjoyed enormous success owing to its ever increasing large-scale integration. With the advent of system-on-a-chip (SOC) technology [30,133], it requires heterogeneous integration to support different modules within one single silicon chip such as logic, memory, analog, RF/microwave, FPGA, and MEMS sensor. Such a heterogeneous integration leads to highly non-uniform current distribution across one layer or between any pair of layers. As a result, it is beneficial to design a structured multi-layer and multi-scale power and ground (P/G) grid [11] that is globally irregular and locally regular [115] according to the current density. This results in a heterogeneously structured P/G circuit model in which each subblock can have a different time constant. In addition, the typical extracted P/G grid circuits usually have millions of nodes and large numbers of ports. To ensure power integrity, specialized simulators for structured P/G grids are required to efficiently and accurately analyze the voltage bounce or drop using macro-models.

In [139], internal sources are first eliminated to obtain a macro-model with only external ports. The entire P/G gird is partitioned at and connected by those external ports. Because elimination results in a dense macro-model, [139] applies an additional sparsification procedure that is error-prone and inefficient. In addition, [18,95] proposed localized simulation and design methods based on the locality of the current distribution in most P/G grids with C4-bumps.

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Publisher: Cambridge University Press
Print publication year: 2007

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  • Structure-preserving model order reduction
  • Sheldon Tan, University of California, Riverside, Lei He, University of California, Los Angeles
  • Book: Advanced Model Order Reduction Techniques in VLSI Design
  • Online publication: 19 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511541117.009
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  • Structure-preserving model order reduction
  • Sheldon Tan, University of California, Riverside, Lei He, University of California, Los Angeles
  • Book: Advanced Model Order Reduction Techniques in VLSI Design
  • Online publication: 19 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511541117.009
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Structure-preserving model order reduction
  • Sheldon Tan, University of California, Riverside, Lei He, University of California, Los Angeles
  • Book: Advanced Model Order Reduction Techniques in VLSI Design
  • Online publication: 19 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511541117.009
Available formats
×