{"id":"https://openalex.org/W4400230323","doi":"https://doi.org/10.1109/iscas58744.2024.10557874","title":"ANN-based Accurate and Fast Post-Route QoR Data Prediction Methodology from Pre-Clock Tree Synthesis by Skipping CTS and Routing","display_name":"ANN-based Accurate and Fast Post-Route QoR Data Prediction Methodology from Pre-Clock Tree Synthesis by Skipping CTS and Routing","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230323","doi":"https://doi.org/10.1109/iscas58744.2024.10557874"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10557874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10557874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"https://openalex.org/A5086355248","display_name":"Arpit Jain","orcid":"https://orcid.org/0000-0002-3158-7305"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpit Jain","raw_affiliation_strings":["IIT Hyderabad,Dept. of Electrical Engineering,Telangana,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Hyderabad,Dept. of Electrical Engineering,Telangana,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052017511","display_name":"Pabitra Das","orcid":"https://orcid.org/0000-0002-3511-5671"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pabitra Das","raw_affiliation_strings":["IIT Hyderabad,Dept. of Electrical Engineering,Telangana,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Hyderabad,Dept. of Electrical Engineering,Telangana,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044085104","display_name":"Amit Acharyya","orcid":"https://orcid.org/0000-0002-5636-0676"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Acharyya","raw_affiliation_strings":["IIT Hyderabad,Dept. of Electrical Engineering,Telangana,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Hyderabad,Dept. of Electrical Engineering,Telangana,India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099841581","display_name":"Rakesh MB","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakesh MB","raw_affiliation_strings":["IIT Hyderabad,Dept. of Electrical Engineering,Telangana,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Hyderabad,Dept. of Electrical Engineering,Telangana,502285","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":1.0668,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7723013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6427000164985657,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.6427000164985657,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.6381999850273132,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7523375153541565},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5905787944793701},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5675127506256104},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1899455487728119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05668920278549194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523375153541565},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5905787944793701},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5675127506256104},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1899455487728119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05668920278549194},{"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:10.1109/iscas58744.2024.10557874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10557874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2074121908","https://openalex.org/W2090971357","https://openalex.org/W2125676180","https://openalex.org/W2152406824","https://openalex.org/W2606669104","https://openalex.org/W2801352139","https://openalex.org/W2811324085","https://openalex.org/W2944851644","https://openalex.org/W2992137891","https://openalex.org/W2998169401","https://openalex.org/W3048124756","https://openalex.org/W4210938977","https://openalex.org/W4311224387","https://openalex.org/W4312966541","https://openalex.org/W4364303268","https://openalex.org/W4385187430"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,31,75],"physical":[1,53],"design,":[2],"back-end":[3,55],"flow,":[4],"clock":[5],"tree":[6],"synthesis,":[7],"and":[8,17,27,38,48,64,88,105,126,132,185,190,204,211,214],"routing":[9],"steps":[10,50],"are":[11,79,113],"vital":[12],"in":[13,163,182,187],"design":[14,25,29,54],"optimization.":[15],"Early":[16],"accurate":[18,37],"QoR":[19,41,68,73],"parameter":[20,160],"prediction":[21,43,65],"is":[22,154,162,173,191,231],"paramount":[23],"for":[24,103,109,118,147,151],"optimization":[26],"timely":[28],"delivery.":[30],"this":[32,76],"paper,":[33],"we":[34,78],"propose":[35],"an":[36],"fast":[39,227],"post-route":[40],"data":[42,102],"methodology":[44,59],"by":[45],"skipping":[46,202],"CTS":[47,203,210],"Routing":[49,212],"from":[51,84],"the":[52,93,101,106,135,142,149,159,164,177,194,199,217,223],"flow.":[56],"This":[57],"proposed":[58,116,136,224],"focuses":[60],"on":[61],"database":[62],"generation":[63],"of":[66,71,100,134,158,166,201,209,216],"26":[67],"report":[69],"parameters":[70,150],"post-Route":[72],"report.":[74],"methodology,":[77],"considering":[80],"nine":[81],"benchmark":[82],"circuits":[83],"ISCAS89,":[85],"IWLS":[86],"2005,":[87],"ISPD":[89],"2013.":[90],"We":[91,112],"use":[92,215],"random":[94],"split":[95,98],"method":[96,117,225,228],"to":[97,193],"50%":[99,108],"training":[104],"remaining":[107],"testing":[110],"purposes.":[111],"validating":[114],"our":[115],"two":[119],"different":[120],"technology":[121,170],"nodes,":[122],"i.e.,":[123],"TSMC":[124,127,183,188],"40nm":[125,184],"65nm,":[128],"which":[129],"ensure":[130],"robustness":[131],"reusability":[133],"methodology.":[137],"Experimental":[138],"results":[139],"show":[140],"that":[141,176],"average":[143],"mean":[144],"square":[145],"error":[146],"all":[148],"both":[152,169,206],"technologies":[153],"10-2,":[155],"while":[156],"most":[157],"MSE":[161],"range":[165],"10-4to":[167],"10-6for":[168],"nodes.":[171],"It":[172],"also":[174],"shown":[175],"accuracy":[178],"significantly":[179],"improved":[180],"(95%":[181],"98%":[186],"65nm)":[189],"comparable":[192],"other":[195],"work,":[196],"along":[197],"with":[198],"advantage":[200],"Route":[205],"steps.":[207],"Skipping":[208],"optimizations":[213],"artificial":[218],"neural":[219],"network":[220],"(ANN)":[221],"makes":[222],"a":[226,232],"as":[229],"ANN":[230],"less":[233],"weighted":[234],"network.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}