{"id":"https://openalex.org/W4404565059","doi":"https://doi.org/10.1109/uemcon62879.2024.10754775","title":"Graph-Based Ranking Techniques for Improving VLSI Placement","display_name":"Graph-Based Ranking Techniques for Improving VLSI Placement","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4404565059","doi":"https://doi.org/10.1109/uemcon62879.2024.10754775"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon62879.2024.10754775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics &amp;amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Truong Xuan Dinh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Truong Xuan Dinh","raw_affiliation_strings":["Posts and Telecommunications Institute of Technology,Faculty of Information Technology 1,Hanoi,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Posts and Telecommunications Institute of Technology,Faculty of Information Technology 1,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062466077","display_name":"Thuy Do","orcid":"https://orcid.org/0000-0002-5668-2181"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tien-Dung Do","raw_affiliation_strings":["Posts and Telecommunications Institute of Technology,Faculty of Information Technology 1,Hanoi,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Posts and Telecommunications Institute of Technology,Faculty of Information Technology 1,Hanoi,Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3549,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80541416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"715","last_page":"719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11338","display_name":"Advancements in Photolithography 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9994999766349792,"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/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.742659866809845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285114526748657},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5407460331916809},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.48001593351364136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.359078586101532},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.35659170150756836},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35475239157676697},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.26433664560317993},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17362743616104126}],"concepts":[{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.742659866809845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285114526748657},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5407460331916809},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.48001593351364136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.359078586101532},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35659170150756836},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35475239157676697},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26433664560317993},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17362743616104126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon62879.2024.10754775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics &amp;amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1973505932","https://openalex.org/W1995233983","https://openalex.org/W2085374061","https://openalex.org/W2125493559","https://openalex.org/W2132693178","https://openalex.org/W2150657873","https://openalex.org/W2884307971","https://openalex.org/W2945592068","https://openalex.org/W2995261664","https://openalex.org/W3171752851","https://openalex.org/W4211113724","https://openalex.org/W4249014856","https://openalex.org/W4292092927","https://openalex.org/W4293024139","https://openalex.org/W4297984007","https://openalex.org/W4313890168","https://openalex.org/W4389166753","https://openalex.org/W6784984117","https://openalex.org/W6846570625","https://openalex.org/W6873786686"],"related_works":["https://openalex.org/W4283025278","https://openalex.org/W61292821","https://openalex.org/W2082432309","https://openalex.org/W817174743","https://openalex.org/W2050492524","https://openalex.org/W2998315020","https://openalex.org/W2104790384","https://openalex.org/W2134640991","https://openalex.org/W3027318491","https://openalex.org/W101478184"],"abstract_inverted_index":{"In":[0,104],"the":[1,10,36,95,102,109,147,151,166,177],"physical":[2,69],"design":[3,22,199],"of":[4,39,58,98,111,180],"Very":[5],"Large-Scale":[6],"Integration":[7],"(VLSI)":[8],"circuits,":[9],"placement":[11,59,122,139,160,195],"process":[12],"plays":[13],"a":[14,55,63,115,157],"critical":[15,96],"role":[16],"as":[17,25,77],"it":[18],"directly":[19],"influences":[20],"key":[21],"metrics":[23,141],"such":[24,76],"power,":[26],"performance,":[27],"and":[28,49,80,118,142,189],"area.":[29],"Although":[30],"substantial":[31],"research":[32,185],"has":[33],"been":[34],"conducted,":[35],"increasing":[37],"complexity":[38],"VLSI":[40,68,116,182],"designs":[41],"continues":[42],"to":[43,165],"present":[44],"challenges":[45,179],"in":[46,73,114,159,173,196],"achieving":[47],"efficient":[48],"rapid":[50],"placement.":[51],"This":[52],"paper":[53],"provides":[54],"comprehensive":[56],"review":[57],"optimization":[60],"techniques,":[61],"with":[62],"particular":[64],"emphasis":[65],"on":[66,125],"accelerating":[67],"design.":[70],"Recent":[71],"advancements":[72],"graph-based":[74],"methods,":[75],"graph":[78,117],"clustering":[79],"GAN-Place":[81],"utilizing":[82],"Graph":[83],"Neural":[84],"Networks,":[85],"have":[86],"demonstrated":[87],"significant":[88],"potential.":[89],"However,":[90],"these":[91,144],"approaches":[92],"often":[93],"overlook":[94],"importance":[97],"element":[99],"weights":[100],"within":[101],"graph.":[103],"this":[105,126,136,184],"study,":[106],"we":[107],"evaluate":[108],"significance":[110],"ranking":[112],"elements":[113],"introduce":[119],"an":[120],"optimized":[121],"strategy":[123],"based":[124],"ranking,":[127],"building":[128],"upon":[129],"DreamPlace.":[130],"Our":[131],"experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"approach":[137],"enhances":[138],"stage":[140],"sustains":[143],"improvements":[145],"through":[146],"post-route":[148],"stage.":[149],"Moreover,":[150],"proposed":[152],"GraphBased":[153],"Ranking":[154],"method":[155],"achieves":[156],"reduction":[158],"time":[161],"by":[162],"2-6%":[163],"compared":[164],"conventional":[167],"approach,":[168],"without":[169],"any":[170],"noticeable":[171],"difference":[172],"HPWL.":[174],"By":[175],"addressing":[176],"evolving":[178],"modern":[181],"placement,":[183],"offers":[186],"valuable":[187],"insights":[188],"suggests":[190],"future":[191],"directions":[192],"for":[193],"optimizing":[194],"increasingly":[197],"complex":[198],"environments.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
