{"id":"https://openalex.org/W2090971357","doi":"https://doi.org/10.1109/iccd.2014.6974668","title":"Accurate prediction of detailed routing congestion using supervised data learning","display_name":"Accurate prediction of detailed routing congestion using supervised data learning","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2090971357","doi":"https://doi.org/10.1109/iccd.2014.6974668","mag":"2090971357"},"language":"en","primary_location":{"id":"doi:10.1109/iccd.2014.6974668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2014.6974668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 32nd International Conference on Computer Design (ICCD)","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/A5006378298","display_name":"Zhongdong Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongdong Qi","raw_affiliation_strings":["Computer Science Department, Tsinghua University, Beijing, China","[Computer Science Department, Tsinghua University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Computer Science Department, Tsinghua University, Beijing, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100894724","display_name":"Yici Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yici Cai","raw_affiliation_strings":["Computer Science Department, Tsinghua University, Beijing, China","[Computer Science Department, Tsinghua University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Computer Science Department, Tsinghua University, Beijing, China]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101929507","display_name":"Qiang Zhou","orcid":"https://orcid.org/0000-0001-7369-3598"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhou","raw_affiliation_strings":["Computer Science Department, Tsinghua University, Beijing, China","[Computer Science Department, Tsinghua University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Computer Science Department, Tsinghua University, Beijing, China]","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.5206,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.89778346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998999834060669,"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/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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9994000196456909,"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":0.7479736804962158},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.6916425824165344},{"id":"https://openalex.org/keywords/multipath-routing","display_name":"Multipath routing","score":0.6133224964141846},{"id":"https://openalex.org/keywords/dynamic-source-routing","display_name":"Dynamic Source Routing","score":0.6062045693397522},{"id":"https://openalex.org/keywords/link-state-routing-protocol","display_name":"Link-state routing protocol","score":0.5981712341308594},{"id":"https://openalex.org/keywords/policy-based-routing","display_name":"Policy-based routing","score":0.5950015187263489},{"id":"https://openalex.org/keywords/equal-cost-multi-path-routing","display_name":"Equal-cost multi-path routing","score":0.4983558654785156},{"id":"https://openalex.org/keywords/hierarchical-routing","display_name":"Hierarchical routing","score":0.48136717081069946},{"id":"https://openalex.org/keywords/geographic-routing","display_name":"Geographic routing","score":0.4587235152721405},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.445702463388443},{"id":"https://openalex.org/keywords/destination-sequenced-distance-vector-routing","display_name":"Destination-Sequenced Distance Vector routing","score":0.4156333804130554},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3986254334449768},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3839665651321411},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.2890543043613434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479736804962158},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.6916425824165344},{"id":"https://openalex.org/C76522221","wikidata":"https://www.wikidata.org/wiki/Q5035396","display_name":"Multipath routing","level":5,"score":0.6133224964141846},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.6062045693397522},{"id":"https://openalex.org/C89305328","wikidata":"https://www.wikidata.org/wiki/Q1755411","display_name":"Link-state routing protocol","level":4,"score":0.5981712341308594},{"id":"https://openalex.org/C196423136","wikidata":"https://www.wikidata.org/wiki/Q7209671","display_name":"Policy-based routing","level":5,"score":0.5950015187263489},{"id":"https://openalex.org/C115443555","wikidata":"https://www.wikidata.org/wiki/Q5367790","display_name":"Equal-cost multi-path routing","level":5,"score":0.4983558654785156},{"id":"https://openalex.org/C177818476","wikidata":"https://www.wikidata.org/wiki/Q12878103","display_name":"Hierarchical routing","level":5,"score":0.48136717081069946},{"id":"https://openalex.org/C50558702","wikidata":"https://www.wikidata.org/wiki/Q5535067","display_name":"Geographic routing","level":5,"score":0.4587235152721405},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.445702463388443},{"id":"https://openalex.org/C29436982","wikidata":"https://www.wikidata.org/wiki/Q3700557","display_name":"Destination-Sequenced Distance Vector routing","level":5,"score":0.4156333804130554},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3986254334449768},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3839665651321411},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.2890543043613434}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccd.2014.6974668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2014.6974668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 32nd International Conference on Computer Design (ICCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1976496997","https://openalex.org/W1978226299","https://openalex.org/W1998461455","https://openalex.org/W1999286005","https://openalex.org/W2023532618","https://openalex.org/W2037552354","https://openalex.org/W2038987112","https://openalex.org/W2074520226","https://openalex.org/W2090613474","https://openalex.org/W2102201073","https://openalex.org/W2125676180","https://openalex.org/W2128161498","https://openalex.org/W2137145481","https://openalex.org/W2155039589","https://openalex.org/W2157541699","https://openalex.org/W3145225676","https://openalex.org/W3145272032","https://openalex.org/W4243621528","https://openalex.org/W4253566331","https://openalex.org/W6659984920","https://openalex.org/W6679151251","https://openalex.org/W6680288814"],"related_works":["https://openalex.org/W2181601090","https://openalex.org/W4253436398","https://openalex.org/W1538003338","https://openalex.org/W1655019438","https://openalex.org/W2068473861","https://openalex.org/W2002267183","https://openalex.org/W2364686261","https://openalex.org/W2556128816","https://openalex.org/W3125210154","https://openalex.org/W2166368933"],"abstract_inverted_index":{"Routing":[0],"congestion":[1,29,59,75],"model":[2,63,82,102],"is":[3,30],"of":[4,10,39,72,88],"great":[5],"importance":[6],"in":[7,53,83,103,109],"design":[8,36,89],"stages":[9,37],"modern":[11],"physical":[12],"synthesis,":[13],"e.g.":[14],"global":[15,84,110],"routing":[16,28,58,74,94,111],"and":[17,68,92,113],"routability":[18],"estimation":[19],"during":[20,35],"placement.":[21],"As":[22],"the":[23,101],"technology":[24],"node":[25],"becomes":[26],"smaller,":[27],"more":[31],"difficult":[32],"to":[33,56],"estimate":[34],"ahead":[38],"detailed":[40,73,93],"routing.":[41],"In":[42],"this":[43,81],"paper,":[44],"we":[45],"propose":[46],"a":[47],"framework":[48],"using":[49,80],"nonparametric":[50],"regression":[51],"technique":[52],"machine":[54],"learning":[55],"construct":[57],"model.":[60],"The":[61],"constructed":[62],"can":[64,96],"capture":[65],"multiple":[66],"factors":[67],"enables":[69],"direct":[70],"prediction":[71],"with":[76,100,106],"high":[77],"accuracy.":[78],"By":[79],"routing,":[85],"significant":[86],"reduction":[87],"rule":[90],"violations":[91],"runtime":[95,112],"be":[97],"achieved":[98],"compared":[99],"previous":[104],"work,":[105],"small":[107],"overhead":[108],"memory":[114],"usage.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}