{"id":"https://openalex.org/W4220763447","doi":"https://doi.org/10.1145/3519422","title":"Performance-Driven X-Architecture Routing Algorithm\u00a0for Artificial Intelligence Chip Design in Smart Manufacturing","display_name":"Performance-Driven X-Architecture Routing Algorithm\u00a0for Artificial Intelligence Chip Design in Smart Manufacturing","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4220763447","doi":"https://doi.org/10.1145/3519422"},"language":"en","primary_location":{"id":"doi:10.1145/3519422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519422","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-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/A5045753829","display_name":"Genggeng Liu","orcid":"https://orcid.org/0000-0002-3099-4371"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genggeng Liu","raw_affiliation_strings":["Fuzhou University, Fuzhou, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0002-3099-4371","affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089098757","display_name":"Yuhan Zhu","orcid":"https://orcid.org/0000-0002-0246-3653"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Zhu","raw_affiliation_strings":["Fuzhou University, Fuzhou, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043454605","display_name":"Saijuan Xu","orcid":"https://orcid.org/0000-0002-1159-9253"},"institutions":[{"id":"https://openalex.org/I4210107712","display_name":"Fujian Business University","ror":"https://ror.org/01mc04w21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saijuan Xu","raw_affiliation_strings":["Fujian Business University, Fuzhou, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Business University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I4210107712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615385","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0001-7098-1877"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Fuzhou University, Fuzhou, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032910989","display_name":"Yeh-Cheng Chen","orcid":"https://orcid.org/0000-0001-7793-1098"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yeh-Cheng Chen","raw_affiliation_strings":["University of California, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4417,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57729853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":"4","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.995199978351593,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7057018280029297},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.6333602070808411},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5280740261077881},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4800880551338196},{"id":"https://openalex.org/keywords/steiner-tree-problem","display_name":"Steiner tree problem","score":0.4521891176700592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.422539085149765},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4210842549800873},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23610389232635498},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21166113018989563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1525118350982666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10868468880653381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057018280029297},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.6333602070808411},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5280740261077881},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4800880551338196},{"id":"https://openalex.org/C76220878","wikidata":"https://www.wikidata.org/wiki/Q1764144","display_name":"Steiner tree problem","level":2,"score":0.4521891176700592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.422539085149765},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4210842549800873},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23610389232635498},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21166113018989563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1525118350982666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10868468880653381},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3519422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519422","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4948621847","display_name":null,"funder_award_id":"GXRC-20060","funder_id":"https://openalex.org/F4320325408","funder_display_name":"Fuzhou University"},{"id":"https://openalex.org/G711401021","display_name":null,"funder_award_id":"61877010 and 11501114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325408","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1508240458","https://openalex.org/W1536174141","https://openalex.org/W1977774784","https://openalex.org/W1982719471","https://openalex.org/W1990317614","https://openalex.org/W1991939642","https://openalex.org/W2013328386","https://openalex.org/W2022423937","https://openalex.org/W2025846977","https://openalex.org/W2072005378","https://openalex.org/W2078144752","https://openalex.org/W2080879057","https://openalex.org/W2082029512","https://openalex.org/W2105217707","https://openalex.org/W2105361752","https://openalex.org/W2108210698","https://openalex.org/W2108328631","https://openalex.org/W2109364787","https://openalex.org/W2115529607","https://openalex.org/W2125831674","https://openalex.org/W2126950153","https://openalex.org/W2135521848","https://openalex.org/W2135991651","https://openalex.org/W2137962804","https://openalex.org/W2160517890","https://openalex.org/W2162320001","https://openalex.org/W2166966776","https://openalex.org/W2167966310","https://openalex.org/W2177496713","https://openalex.org/W2180570939","https://openalex.org/W2187537484","https://openalex.org/W2336682439","https://openalex.org/W2408582498","https://openalex.org/W2423823793","https://openalex.org/W2600367291","https://openalex.org/W2616362789","https://openalex.org/W2762996449","https://openalex.org/W2780599721","https://openalex.org/W2794758356","https://openalex.org/W2802720320","https://openalex.org/W2809111455","https://openalex.org/W2891512841","https://openalex.org/W2919916556","https://openalex.org/W2944910096","https://openalex.org/W2946549126","https://openalex.org/W2952652832","https://openalex.org/W3005038218","https://openalex.org/W3013844170","https://openalex.org/W3015807029","https://openalex.org/W3019178292","https://openalex.org/W3033964994","https://openalex.org/W3098776158","https://openalex.org/W3118290385","https://openalex.org/W3130810580","https://openalex.org/W3152719968","https://openalex.org/W3166464658","https://openalex.org/W3186634981","https://openalex.org/W3204652934","https://openalex.org/W3213591121","https://openalex.org/W3216031235","https://openalex.org/W4232025991"],"related_works":["https://openalex.org/W2118320476","https://openalex.org/W2161182859","https://openalex.org/W2025658531","https://openalex.org/W1503036335","https://openalex.org/W4244816249","https://openalex.org/W2115973883","https://openalex.org/W2362006006","https://openalex.org/W2021808862","https://openalex.org/W2105127960","https://openalex.org/W2028847061"],"abstract_inverted_index":{"The":[0],"new":[1],"7-nm":[2],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"chip":[6,27,87,226],"is":[7,92,109,131,171,184,210],"an":[8,79,138,211],"important":[9,21,212],"milestone":[10],"recently":[11],"announced":[12],"by":[13],"the":[14,37,42,51,71,74,96,100,113,160,175,178,189,192,201,219],"IBM":[15],"research":[16],"team,":[17],"with":[18,123,197],"a":[19,103,127,155,165,181,205],"very":[20,46],"optimization":[22,65,107],"goal":[23],"of":[24,39,99,167,191,214,224],"performance.":[25],"This":[26],"technology":[28],"can":[29,55],"be":[30,56],"extended":[31],"to":[32,94,111,133,153,173,186],"various":[33,59],"business":[34],"scenarios":[35],"in":[36,58,89,121,228],"Internet":[38],"Things.":[40],"As":[41],"basic":[43],"model":[44],"for":[45,85,159,221],"large":[47],"scale":[48],"integration":[49],"routing,":[50],"Steiner":[52,117],"minimal":[53],"tree":[54,119],"used":[57],"practical":[60],"problems,":[61],"such":[62],"as":[63],"wirelength":[64],"and":[66,73,126,149],"timing":[67],"closure.":[68],"Further":[69],"considering":[70],"X-architecture":[72,82,116],"routing":[75,83,140,194],"resources":[76],"within":[77],"obstacles,":[78],"effective":[80],"performance-driven":[81],"algorithm":[84,108,162,203],"AI":[86,225],"design":[88,227],"smart":[90,229],"manufacturing":[91],"proposed":[93,202],"improve":[95,188],"delay":[97,222],"performance":[98,223],"chip.":[101],"First,":[102],"special":[104],"particle":[105,128,136],"swarm":[106],"presented":[110,132],"solve":[112],"discrete":[114],"length-restricted":[115],"minimum":[118],"problem":[120],"combination":[122],"genetic":[124],"operations,":[125],"encoding":[129],"scheme":[130],"encode":[134],"each":[135],"into":[137],"initial":[139],"tree.":[141,195],"Second,":[142],"two":[143],"lookup":[144],"tables":[145],"based":[146],"on":[147],"pins":[148],"obstacles":[150],"are":[151],"established":[152],"provide":[154],"fast":[156],"information":[157],"query":[158],"whole":[161],"flow.":[163],"Third,":[164],"strategy":[166,183],"candidate":[168],"point":[169],"selection":[170],"designed":[172],"make":[174],"particles":[176],"satisfy":[177],"constraints.":[179],"Finally,":[180],"refinement":[182],"implemented":[185],"further":[187],"quality":[190],"final":[193],"Compared":[196],"other":[198],"state-of-the-art":[199],"algorithms,":[200],"achieves":[204],"better":[206,217],"total":[207],"wirelength,":[208],"which":[209],"index":[213],"performance,":[215],"thus":[216],"satisfying":[218],"demand":[220],"manufacturing.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}