Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-09T23:33:15.701Z Has data issue: false hasContentIssue false

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
Get access

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.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • 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
×

Save book to Dropbox

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 Dropbox.

  • 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
×

Save book to Google Drive

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
×