Loading…

Statistical Modeling With the PSP MOSFET Model

PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV statistical modeling of NMOS and PMOS devices is, for the first time, coupled by including self-consistent modeling of ri...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on computer-aided design of integrated circuits and systems 2010-04, Vol.29 (4), p.599-606
Main Authors: Xin Li, McAndrew, C.C., Weimin Wu, Chaudhry, S., Victory, J., Gildenblat, G.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743
cites cdi_FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743
container_end_page 606
container_issue 4
container_start_page 599
container_title IEEE transactions on computer-aided design of integrated circuits and systems
container_volume 29
creator Xin Li
McAndrew, C.C.
Weimin Wu
Chaudhry, S.
Victory, J.
Gildenblat, G.
description PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV statistical modeling of NMOS and PMOS devices is, for the first time, coupled by including self-consistent modeling of ring oscillator gate delays. Parasitic capacitances are included in the analysis. The proposed technique is validated using Monte-Carlo simulations and by comparison to experimental data from two technologies.
doi_str_mv 10.1109/TCAD.2010.2042892
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TCAD_2010_2042892</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5433756</ieee_id><sourcerecordid>753726962</sourcerecordid><originalsourceid>FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743</originalsourceid><addsrcrecordid>eNpdkM1Lw0AQxRdRsFb_APES8OApdWc_srvHUj-hpYVWPC7bZGJT0qZmNwf_e7ekePA0PN7vDTOPkFugIwBqHleT8dOI0SgZFUwbdkYGYLhKBUg4JwPKlE4pVfSSXHm_pRSEZGZARsvgQuVDlbs6mTUF1tX-K_mswiYJG0wWy0Uymy9fnle9eU0uSld7vDnNIfmI3uQtnc5f3yfjaZpzJkNqwKhMSS3WBWclFq4E4OhUkUUBa-2oYQUKJpFrlytlJNNFKbSSUmumBB-Sh37voW2-O_TB7iqfY127PTadt0pyxTKTsUje_yO3Tdfu43EW4tMgDFAdKeipvG28b7G0h7baufYnQvZYoD0WaI8F2lOBMXPXZypE_OOl4FzJjP8CYa1ofQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1027149108</pqid></control><display><type>article</type><title>Statistical Modeling With the PSP MOSFET Model</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Xin Li ; McAndrew, C.C. ; Weimin Wu ; Chaudhry, S. ; Victory, J. ; Gildenblat, G.</creator><creatorcontrib>Xin Li ; McAndrew, C.C. ; Weimin Wu ; Chaudhry, S. ; Victory, J. ; Gildenblat, G.</creatorcontrib><description>PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV statistical modeling of NMOS and PMOS devices is, for the first time, coupled by including self-consistent modeling of ring oscillator gate delays. Parasitic capacitances are included in the analysis. The proposed technique is validated using Monte-Carlo simulations and by comparison to experimental data from two technologies.</description><identifier>ISSN: 0278-0070</identifier><identifier>EISSN: 1937-4151</identifier><identifier>DOI: 10.1109/TCAD.2010.2042892</identifier><identifier>CODEN: ITCSDI</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Backward propagation of variance ; CMOS technology ; Computer aided design ; Computer simulation ; Coupling circuits ; Delay ; Delay effects ; Design engineering ; FETs ; Fitting ; Gates ; Integrated circuit modeling ; Monte Carlo methods ; MOS devices ; MOSFET circuits ; MOSFETs ; Oscillators ; Parasitic capacitance ; PSP model ; Ring oscillators ; statistical modeling</subject><ispartof>IEEE transactions on computer-aided design of integrated circuits and systems, 2010-04, Vol.29 (4), p.599-606</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743</citedby><cites>FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5433756$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Xin Li</creatorcontrib><creatorcontrib>McAndrew, C.C.</creatorcontrib><creatorcontrib>Weimin Wu</creatorcontrib><creatorcontrib>Chaudhry, S.</creatorcontrib><creatorcontrib>Victory, J.</creatorcontrib><creatorcontrib>Gildenblat, G.</creatorcontrib><title>Statistical Modeling With the PSP MOSFET Model</title><title>IEEE transactions on computer-aided design of integrated circuits and systems</title><addtitle>TCAD</addtitle><description>PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV statistical modeling of NMOS and PMOS devices is, for the first time, coupled by including self-consistent modeling of ring oscillator gate delays. Parasitic capacitances are included in the analysis. The proposed technique is validated using Monte-Carlo simulations and by comparison to experimental data from two technologies.</description><subject>Backward propagation of variance</subject><subject>CMOS technology</subject><subject>Computer aided design</subject><subject>Computer simulation</subject><subject>Coupling circuits</subject><subject>Delay</subject><subject>Delay effects</subject><subject>Design engineering</subject><subject>FETs</subject><subject>Fitting</subject><subject>Gates</subject><subject>Integrated circuit modeling</subject><subject>Monte Carlo methods</subject><subject>MOS devices</subject><subject>MOSFET circuits</subject><subject>MOSFETs</subject><subject>Oscillators</subject><subject>Parasitic capacitance</subject><subject>PSP model</subject><subject>Ring oscillators</subject><subject>statistical modeling</subject><issn>0278-0070</issn><issn>1937-4151</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNpdkM1Lw0AQxRdRsFb_APES8OApdWc_srvHUj-hpYVWPC7bZGJT0qZmNwf_e7ekePA0PN7vDTOPkFugIwBqHleT8dOI0SgZFUwbdkYGYLhKBUg4JwPKlE4pVfSSXHm_pRSEZGZARsvgQuVDlbs6mTUF1tX-K_mswiYJG0wWy0Uymy9fnle9eU0uSld7vDnNIfmI3uQtnc5f3yfjaZpzJkNqwKhMSS3WBWclFq4E4OhUkUUBa-2oYQUKJpFrlytlJNNFKbSSUmumBB-Sh37voW2-O_TB7iqfY127PTadt0pyxTKTsUje_yO3Tdfu43EW4tMgDFAdKeipvG28b7G0h7baufYnQvZYoD0WaI8F2lOBMXPXZypE_OOl4FzJjP8CYa1ofQ</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Xin Li</creator><creator>McAndrew, C.C.</creator><creator>Weimin Wu</creator><creator>Chaudhry, S.</creator><creator>Victory, J.</creator><creator>Gildenblat, G.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>201004</creationdate><title>Statistical Modeling With the PSP MOSFET Model</title><author>Xin Li ; McAndrew, C.C. ; Weimin Wu ; Chaudhry, S. ; Victory, J. ; Gildenblat, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Backward propagation of variance</topic><topic>CMOS technology</topic><topic>Computer aided design</topic><topic>Computer simulation</topic><topic>Coupling circuits</topic><topic>Delay</topic><topic>Delay effects</topic><topic>Design engineering</topic><topic>FETs</topic><topic>Fitting</topic><topic>Gates</topic><topic>Integrated circuit modeling</topic><topic>Monte Carlo methods</topic><topic>MOS devices</topic><topic>MOSFET circuits</topic><topic>MOSFETs</topic><topic>Oscillators</topic><topic>Parasitic capacitance</topic><topic>PSP model</topic><topic>Ring oscillators</topic><topic>statistical modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xin Li</creatorcontrib><creatorcontrib>McAndrew, C.C.</creatorcontrib><creatorcontrib>Weimin Wu</creatorcontrib><creatorcontrib>Chaudhry, S.</creatorcontrib><creatorcontrib>Victory, J.</creatorcontrib><creatorcontrib>Gildenblat, G.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) Online</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on computer-aided design of integrated circuits and systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xin Li</au><au>McAndrew, C.C.</au><au>Weimin Wu</au><au>Chaudhry, S.</au><au>Victory, J.</au><au>Gildenblat, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical Modeling With the PSP MOSFET Model</atitle><jtitle>IEEE transactions on computer-aided design of integrated circuits and systems</jtitle><stitle>TCAD</stitle><date>2010-04</date><risdate>2010</risdate><volume>29</volume><issue>4</issue><spage>599</spage><epage>606</epage><pages>599-606</pages><issn>0278-0070</issn><eissn>1937-4151</eissn><coden>ITCSDI</coden><abstract>PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV statistical modeling of NMOS and PMOS devices is, for the first time, coupled by including self-consistent modeling of ring oscillator gate delays. Parasitic capacitances are included in the analysis. The proposed technique is validated using Monte-Carlo simulations and by comparison to experimental data from two technologies.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCAD.2010.2042892</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0278-0070
ispartof IEEE transactions on computer-aided design of integrated circuits and systems, 2010-04, Vol.29 (4), p.599-606
issn 0278-0070
1937-4151
language eng
recordid cdi_crossref_primary_10_1109_TCAD_2010_2042892
source IEEE Electronic Library (IEL) Journals
subjects Backward propagation of variance
CMOS technology
Computer aided design
Computer simulation
Coupling circuits
Delay
Delay effects
Design engineering
FETs
Fitting
Gates
Integrated circuit modeling
Monte Carlo methods
MOS devices
MOSFET circuits
MOSFETs
Oscillators
Parasitic capacitance
PSP model
Ring oscillators
statistical modeling
title Statistical Modeling With the PSP MOSFET Model
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T21%3A27%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Statistical%20Modeling%20With%20the%20PSP%20MOSFET%20Model&rft.jtitle=IEEE%20transactions%20on%20computer-aided%20design%20of%20integrated%20circuits%20and%20systems&rft.au=Xin%20Li&rft.date=2010-04&rft.volume=29&rft.issue=4&rft.spage=599&rft.epage=606&rft.pages=599-606&rft.issn=0278-0070&rft.eissn=1937-4151&rft.coden=ITCSDI&rft_id=info:doi/10.1109/TCAD.2010.2042892&rft_dat=%3Cproquest_cross%3E753726962%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c325t-919767584bd32fedaf113ea7d6fed1b8a092de425e38ac779528df48755882743%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1027149108&rft_id=info:pmid/&rft_ieee_id=5433756&rfr_iscdi=true