Fast methods for extraction and sparsification of substrate coupling

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.

Bibliographic Details
Main Author: Kanapka, Joseph D. (Joseph Daniel), 1972-
Other Authors: Jacob White.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/29236
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author Kanapka, Joseph D. (Joseph Daniel), 1972-
author2 Jacob White.
author_facet Jacob White.
Kanapka, Joseph D. (Joseph Daniel), 1972-
author_sort Kanapka, Joseph D. (Joseph Daniel), 1972-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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spelling mit-1721.1/292362019-04-10T18:34:31Z Fast methods for extraction and sparsification of substrate coupling Kanapka, Joseph D. (Joseph Daniel), 1972- Jacob White. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002. Includes bibliographical references (p. 107-111). Substrate coupling effects have had an increasing impact on circuit performance in recent years. As a result, there is strong demand for substrate simulation tools. Past work has concentrated on fast substrate solvers that are applied once per contact to get the dense conductance matrix G. We develop a method of using any underlying substrate solver a near-constant number of times to obtain a sparse approximate representation G [approximately equal to] QGwtQ' in a new basis. This method differs from previous matrix sparsification techniques in that it requires only a "black box" which can apply G quickly; it doesn't need an analytical representation of the underlying kernel or access to individual entries of G. The change-of-basis matrix Q is also sparse. For our largest example, with 10240 contacts, we obtained a Gwt with 130 times fewer nonzeros than the dense G (and Q more than twice as sparse as Gwt), with 20 times fewer solves than the naive method, and fewer than 4 percent of the QGwtQ' entries had relative error more than 10% compared to the exact G. by Joseph Daniel Kanapka. Ph.D. 2005-10-14T19:21:43Z 2005-10-14T19:21:43Z 2002 2002 Thesis http://hdl.handle.net/1721.1/29236 51540697 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 111 p. 4134531 bytes 4134338 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Kanapka, Joseph D. (Joseph Daniel), 1972-
Fast methods for extraction and sparsification of substrate coupling
title Fast methods for extraction and sparsification of substrate coupling
title_full Fast methods for extraction and sparsification of substrate coupling
title_fullStr Fast methods for extraction and sparsification of substrate coupling
title_full_unstemmed Fast methods for extraction and sparsification of substrate coupling
title_short Fast methods for extraction and sparsification of substrate coupling
title_sort fast methods for extraction and sparsification of substrate coupling
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/29236
work_keys_str_mv AT kanapkajosephdjosephdaniel1972 fastmethodsforextractionandsparsificationofsubstratecoupling