{"id":"https://openalex.org/W3012412994","doi":"https://doi.org/10.1145/3372780.3375557","title":"Transforming Global Routing Report into DRC Violation Map with Convolutional Neural Network","display_name":"Transforming Global Routing Report into DRC Violation Map with Convolutional Neural Network","publication_year":2020,"publication_date":"2020-03-20","ids":{"openalex":"https://openalex.org/W3012412994","doi":"https://doi.org/10.1145/3372780.3375557","mag":"3012412994"},"language":"en","primary_location":{"id":"doi:10.1145/3372780.3375557","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372780.3375557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Symposium on Physical Design","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/A5086183393","display_name":"Wei-Tse Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wei-Tse Hung","raw_affiliation_strings":["National Chiao-Tung University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao-Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033450088","display_name":"Junyang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Yang Huang","raw_affiliation_strings":["National Chiao-Tung University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao-Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019344686","display_name":"Yih-Chih Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086231","display_name":"Global Unichip (Taiwan)","ror":"https://ror.org/00005jn19","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210086231"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yih-Chih Chou","raw_affiliation_strings":["Global Unichip Corporation, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Global Unichip Corporation, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I4210086231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019183410","display_name":"Cheng-Hong Tsai","orcid":"https://orcid.org/0009-0001-6719-6728"},"institutions":[{"id":"https://openalex.org/I4210086231","display_name":"Global Unichip (Taiwan)","ror":"https://ror.org/00005jn19","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210086231"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hong Tsai","raw_affiliation_strings":["Global Unichip Corporation, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"Global Unichip Corporation, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I4210086231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045156360","display_name":"Mango C.-T. Chao","orcid":"https://orcid.org/0000-0002-7299-9015"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mango Chao","raw_affiliation_strings":["National Chiao-Tung University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Chiao-Tung University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086183393"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":4.1012,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94255059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9991000294685364,"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":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8037446737289429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7329375147819519},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.7109193801879883},{"id":"https://openalex.org/keywords/router","display_name":"Router","score":0.5820127129554749},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5695251226425171},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5224094390869141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4728315770626068},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.44773924350738525},{"id":"https://openalex.org/keywords/road-map","display_name":"Road map","score":0.42731037735939026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4262595772743225},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.42595452070236206},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41461181640625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3347366154193878},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15794438123703003},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07246726751327515},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.06513625383377075}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8037446737289429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329375147819519},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.7109193801879883},{"id":"https://openalex.org/C2775896111","wikidata":"https://www.wikidata.org/wiki/Q642560","display_name":"Router","level":2,"score":0.5820127129554749},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5695251226425171},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5224094390869141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4728315770626068},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.44773924350738525},{"id":"https://openalex.org/C188048851","wikidata":"https://www.wikidata.org/wiki/Q2298569","display_name":"Road map","level":2,"score":0.42731037735939026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4262595772743225},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.42595452070236206},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41461181640625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3347366154193878},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15794438123703003},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07246726751327515},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.06513625383377075},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372780.3375557","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372780.3375557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Symposium on Physical Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1677182931","https://openalex.org/W2011716581","https://openalex.org/W2153635508","https://openalex.org/W2271840356","https://openalex.org/W2395611524","https://openalex.org/W2604486584","https://openalex.org/W2899885603","https://openalex.org/W4206831070","https://openalex.org/W4247950230","https://openalex.org/W4292914223"],"related_works":["https://openalex.org/W2127180614","https://openalex.org/W4235531327","https://openalex.org/W2177095534","https://openalex.org/W1964344619","https://openalex.org/W1603115038","https://openalex.org/W2163233359","https://openalex.org/W4251026061","https://openalex.org/W4249446840","https://openalex.org/W4238466892","https://openalex.org/W2152234461"],"abstract_inverted_index":{"In":[0],"this":[1,46],"paper,":[2],"we":[3],"have":[4],"proposed":[5,34,79,162],"a":[6,15,59,93,118,128,148,168,173,184],"machine-learning":[7],"framework":[8,35,163],"to":[9,44,80,146,172],"predict":[10],"the":[11,25,65,89,101,134],"DRC-violation":[12,149,187],"map":[13,131,150,188],"of":[14,68,141,154,156],"given":[16],"design":[17],"resulting":[18,28],"from":[19,29,54],"its":[20,30,41],"detailed":[21,192],"routing":[22],"based":[23],"on":[24],"congestion":[26],"report":[27],"global":[31,157,176],"routing.":[32,193],"The":[33,49,105,138],"utilizes":[36],"convolutional":[37],"neural":[38],"network":[39],"as":[40,167],"core":[42],"technique":[43,77],"train":[45],"prediction":[47],"model.":[48],"training":[50,70,83,96,103],"dataset":[51],"is":[52,78,151],"collected":[53,69],"15":[55],"industrial":[56],"designs":[57],"using":[58,142],"leading":[60],"commercial":[61,175],"APR":[62],"tool,":[63],"and":[64,98,159,181],"total":[66],"number":[67],"samples":[71,84],"exceed":[72],"26M.":[73],"A":[74],"specialized":[75],"under-sampling":[76],"select":[81],"important":[82],"for":[85,88],"learning,":[86],"compensate":[87],"inaccuracy":[90],"misled":[91],"by":[92],"highly":[94],"imbalanced":[95],"dataset,":[97],"speed":[99],"up":[100],"entire":[102],"process.":[104],"experimental":[106],"result":[107,114],"demonstrates":[108],"that":[109,155,178],"our":[110,143,161],"trained":[111],"model":[112,145],"can":[113,164,179],"in":[115],"not":[116],"only":[117,152],"significantly":[119],"higher":[120],"accuracy":[121],"than":[122],"previous":[123],"related":[124],"works":[125],"but":[126],"also":[127],"DRC":[129],"violation":[130],"visually":[132],"matching":[133],"actual":[135],"ones":[136],"closely.":[137],"average":[139],"runtime":[140],"learned":[144],"generate":[147,183],"3%":[153],"routing,":[158],"hence":[160],"be":[165],"viewed":[166],"simple":[169],"add-on":[170],"tool":[171],"current":[174],"router":[177],"efficiently":[180],"effectively":[182],"more":[185],"realistic":[186],"without":[189],"really":[190],"applying":[191]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
