{"id":"https://openalex.org/W1554869275","doi":"https://doi.org/10.1109/iccad.2004.1382666","title":"Wire-length prediction using statistical techniques","display_name":"Wire-length prediction using statistical techniques","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W1554869275","doi":"https://doi.org/10.1109/iccad.2004.1382666","mag":"1554869275"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2004.1382666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2004.1382666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM International Conference on Computer Aided Design, 2004. ICCAD-2004.","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/A5062218359","display_name":"Jennifer L. Wong","orcid":"https://orcid.org/0000-0003-0583-5755"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.L. Wong","raw_affiliation_strings":["University of Maryland, College Park, MD","California Univ., Los Angeles, Ca, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"California Univ., Los Angeles, Ca, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072204999","display_name":"Azadeh Davoodi","orcid":"https://orcid.org/0000-0001-5213-2556"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Davoodi","raw_affiliation_strings":["University of Maryland, College Park, MD","Dept. of Electr. & Comput. Eng., Minnesota Univ., Twin Cities, MN, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Minnesota Univ., Twin Cities, MN, USA#TAB#","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055444437","display_name":"Vishal Khandelwal","orcid":"https://orcid.org/0000-0003-4321-8125"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"V. Khandelwal","raw_affiliation_strings":["University of Maryland, College Park, MD","Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089770783","display_name":"Ankur Srivastava","orcid":"https://orcid.org/0000-0002-5445-904X"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]},{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["SE","US"],"is_corresponding":false,"raw_author_name":"A. Srivastava","raw_affiliation_strings":["University of Maryland, College Park, MD","Dept. of Inf. & Comput. Sci., Linkoping Univ., Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Dept. of Inf. & Comput. Sci., Linkoping Univ., Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082847985","display_name":"Miodrag Potkonjak","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"M. Potkonjak","raw_affiliation_strings":["University of California, Los Angeles, CA","Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7269,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7201523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"702","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.6739634871482849},{"id":"https://openalex.org/keywords/floorplan","display_name":"Floorplan","score":0.6468476057052612},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6254593133926392},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5980368852615356},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5736455321311951},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5378709435462952},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5224032402038574},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5161698460578918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5043374300003052},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.44413483142852783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27574867010116577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24567431211471558},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22869890928268433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739634871482849},{"id":"https://openalex.org/C130145326","wikidata":"https://www.wikidata.org/wiki/Q1553985","display_name":"Floorplan","level":2,"score":0.6468476057052612},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6254593133926392},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5980368852615356},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5736455321311951},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5378709435462952},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5224032402038574},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5161698460578918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5043374300003052},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.44413483142852783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27574867010116577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24567431211471558},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22869890928268433},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccad.2004.1382666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2004.1382666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM International Conference on Computer Aided Design, 2004. ICCAD-2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.228.9339","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.9339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucla.edu/%7Emiodrag/papers/Wong_ICCAD_2004.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.1996","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.umd.edu/~vishalk/ICCAD04_wirelength.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1545627509","https://openalex.org/W1594031697","https://openalex.org/W1984588379","https://openalex.org/W1988001671","https://openalex.org/W1995945562","https://openalex.org/W2048312633","https://openalex.org/W2160252016","https://openalex.org/W2432517183","https://openalex.org/W2981264952","https://openalex.org/W3097169496","https://openalex.org/W3106889297","https://openalex.org/W4233029515","https://openalex.org/W4236913175","https://openalex.org/W6632576375","https://openalex.org/W6647319239"],"related_works":["https://openalex.org/W2055008360","https://openalex.org/W2135118255","https://openalex.org/W215057456","https://openalex.org/W1500063550","https://openalex.org/W2106366463","https://openalex.org/W2165891825","https://openalex.org/W2942050196","https://openalex.org/W4251805775","https://openalex.org/W4239364405","https://openalex.org/W2111813998"],"abstract_inverted_index":{"We":[0,118],"address":[1],"the":[2,17,49,52,59,103,120,124],"classic":[3],"wire-length":[4,12,30],"estimation":[5,13],"problem":[6,128],"and":[7,26,40,89,112,129],"propose":[8],"a":[9,36,62,69,79,98,106],"new":[10],"statistical":[11,42],"approach":[14],"that":[15,68],"captures":[16],"probability":[18,66],"distribution":[19],"function":[20],"of":[21,38,51,61,100,105,109,116],"net":[22,53,70,121,134],"lengths":[23],"after":[24,75,136],"placement":[25,76],"before":[27],"routing.":[28,137],"The":[29,44,82,92],"prediction":[31],"model":[32,45,83,93],"was":[33],"developed":[34],"using":[35,54,86],"combination":[37],"parametric":[39],"non-parametric":[41],"techniques.":[43,91],"predicts":[46],"not":[47],"only":[48],"length":[50],"input":[55],"parameters":[56],"extracted":[57],"from":[58],"floorplan":[60],"design,":[63],"but":[64],"also":[65],"distributions":[67],"with":[71],"given":[72],"characteristics":[73],"obtained":[74,130],"will":[77],"have":[78],"particular":[80],"length.":[81],"is":[84],"validated":[85],"both":[87],"learn-and-test":[88],"resubstitution":[90],"can":[94],"be":[95],"used":[96],"for":[97],"variety":[99],"purposes,":[101],"including":[102],"generation":[104],"large":[107],"number":[108],"statistically":[110],"sound":[111],"therefore":[113],"realistic":[114],"instances":[115],"designs.":[117],"applied":[119],"models":[122],"to":[123],"probabilistic":[125],"buffer":[126],"insertion":[127],"substantial":[131],"improvement":[132],"in":[133],"delay":[135]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}