{"id":"https://openalex.org/W2165974709","doi":"https://doi.org/10.1109/iscas.2011.5938110","title":"Pure nodal analysis for efficient on-chip interconnect model order reduction","display_name":"Pure nodal analysis for efficient on-chip interconnect model order reduction","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2165974709","doi":"https://doi.org/10.1109/iscas.2011.5938110","mag":"2165974709"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2011.5938110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2011.5938110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium of Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006587869","display_name":"Frank Liu","orcid":"https://orcid.org/0000-0001-6615-0739"},"institutions":[{"id":"https://openalex.org/I4210156936","display_name":"IBM Research - Austin","ror":"https://ror.org/05gjbbg60","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210156936"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Frank Liu","raw_affiliation_strings":["IBM Austin Research Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"IBM Austin Research Laboratory, USA","institution_ids":["https://openalex.org/I4210156936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113658632","display_name":"P. Feldmann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Feldmann","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, USA","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006587869"],"corresponding_institution_ids":["https://openalex.org/I4210156936"],"apc_list":null,"apc_paid":null,"fwci":0.2394,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59564318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"2493","last_page":"2496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11263","display_name":"Electromagnetic Simulation and Numerical Methods","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/krylov-subspace","display_name":"Krylov subspace","score":0.8210419416427612},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.7228809595108032},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6551293730735779},{"id":"https://openalex.org/keywords/model-order-reduction","display_name":"Model order reduction","score":0.6445238590240479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5457815527915955},{"id":"https://openalex.org/keywords/lanczos-resampling","display_name":"Lanczos resampling","score":0.5078104138374329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45660996437072754},{"id":"https://openalex.org/keywords/inductor","display_name":"Inductor","score":0.45557916164398193},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42324894666671753},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4189445972442627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39256855845451355},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39050331711769104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3514723777770996},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.2666524052619934},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.2318115234375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09006696939468384}],"concepts":[{"id":"https://openalex.org/C147060835","wikidata":"https://www.wikidata.org/wiki/Q1757151","display_name":"Krylov subspace","level":3,"score":0.8210419416427612},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.7228809595108032},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6551293730735779},{"id":"https://openalex.org/C2779277453","wikidata":"https://www.wikidata.org/wiki/Q12202921","display_name":"Model order reduction","level":3,"score":0.6445238590240479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5457815527915955},{"id":"https://openalex.org/C119256216","wikidata":"https://www.wikidata.org/wiki/Q913012","display_name":"Lanczos resampling","level":3,"score":0.5078104138374329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45660996437072754},{"id":"https://openalex.org/C144534570","wikidata":"https://www.wikidata.org/wiki/Q5325","display_name":"Inductor","level":3,"score":0.45557916164398193},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42324894666671753},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4189445972442627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39256855845451355},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39050331711769104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3514723777770996},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.2666524052619934},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.2318115234375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09006696939468384},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2011.5938110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2011.5938110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium of Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1594588430","https://openalex.org/W2049064539","https://openalex.org/W2052143849","https://openalex.org/W2064733273","https://openalex.org/W2067189296","https://openalex.org/W2094542090","https://openalex.org/W2113377690","https://openalex.org/W2122608783","https://openalex.org/W2128919817","https://openalex.org/W2135742364","https://openalex.org/W2156878430","https://openalex.org/W2163626738","https://openalex.org/W3150176780","https://openalex.org/W4230077583","https://openalex.org/W4232846525","https://openalex.org/W6667338843"],"related_works":["https://openalex.org/W2950418232","https://openalex.org/W4301683480","https://openalex.org/W2889932903","https://openalex.org/W1668795783","https://openalex.org/W1964004266","https://openalex.org/W3201061354","https://openalex.org/W4242776319","https://openalex.org/W1977732568","https://openalex.org/W2045998430","https://openalex.org/W4241110789"],"abstract_inverted_index":{"This":[0],"paper":[1],"described":[2],"a":[3,10,78],"model-order":[4],"reduction":[5,57],"(MOR)":[6],"method":[7],"based":[8],"on":[9],"novel":[11],"pure-nodal":[12],"analysis":[13],"formulation":[14],"(PNA)":[15],"which":[16],"permits":[17],"the":[18,69],"use":[19],"of":[20,42,81],"symmetric,":[21],"positive-definite":[22],"Cholesky":[23],"solvers":[24],"for":[25,67],"all":[26],"circuit":[27],"topologies.":[28],"Moreover,":[29],"frequently":[30],"occurring":[31],"special":[32],"cases,":[33],"e.g.,":[34],"inductor-resistor":[35],"tree":[36],"structures":[37],"result":[38],"in":[39],"particular":[40],"types":[41],"matrices":[43],"that":[44],"are":[45],"solved":[46],"by":[47,77],"an":[48],"even":[49],"faster":[50],"linear":[51],"time":[52],"algorithm.":[53],"The":[54],"model":[55],"order":[56],"algorithms":[58],"also":[59],"uses":[60],"symmetric-Lanczos":[61],"iteration":[62],"and":[63],"non-":[64],"standard":[65],"inner-products":[66],"generating":[68],"Krylov":[70],"subspace":[71],"basis.":[72],"Its":[73],"efficiency":[74],"is":[75],"supported":[76],"wide":[79],"range":[80],"industrial":[82],"examples.":[83]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
