{"id":"https://openalex.org/W3013719760","doi":"https://doi.org/10.1109/asp-dac47756.2020.9045178","title":"High-Definition Routing Congestion Prediction for Large-Scale FPGAs","display_name":"High-Definition Routing Congestion Prediction for Large-Scale FPGAs","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013719760","doi":"https://doi.org/10.1109/asp-dac47756.2020.9045178","mag":"3013719760"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac47756.2020.9045178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac47756.2020.9045178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5038501242","display_name":"Mohamed Baker Alawieh","orcid":"https://orcid.org/0000-0002-3546-0336"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed Baker Alawieh","raw_affiliation_strings":["ECE Department, UT, Austin"],"affiliations":[{"raw_affiliation_string":"ECE Department, UT, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034982668","display_name":"Wuxi Li","orcid":"https://orcid.org/0000-0002-9887-5109"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wuxi Li","raw_affiliation_strings":["ECE Department, UT, Austin"],"affiliations":[{"raw_affiliation_string":"ECE Department, UT, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000933188","display_name":"Yibo Lin","orcid":"https://orcid.org/0000-0002-0977-2774"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yibo Lin","raw_affiliation_strings":["ECE Department, UT, Austin"],"affiliations":[{"raw_affiliation_string":"ECE Department, UT, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049203311","display_name":"Love Singhal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Love Singhal","raw_affiliation_strings":["Intel Corporation"],"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044099321","display_name":"Mahesh A. Iyer","orcid":"https://orcid.org/0000-0002-1045-0019"},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesh A. Iyer","raw_affiliation_strings":["Intel Corporation"],"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011883763","display_name":"David Z. Pan","orcid":"https://orcid.org/0000-0002-5705-2501"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Z. Pan","raw_affiliation_strings":["ECE Department, UT, Austin"],"affiliations":[{"raw_affiliation_string":"ECE Department, UT, Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038501242"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":4.0459,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.94518889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","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"}},"topics":[{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","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"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8105053901672363},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7359460592269897},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.7098098397254944},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6485106945037842},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5846208930015564},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5441715121269226},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.502392053604126},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4847812056541443},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45603880286216736},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.444292813539505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4331507384777069},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4185005724430084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40707993507385254},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38338765501976013},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32250893115997314},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09614726901054382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105053901672363},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7359460592269897},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.7098098397254944},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6485106945037842},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5846208930015564},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5441715121269226},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.502392053604126},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4847812056541443},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45603880286216736},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.444292813539505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4331507384777069},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4185005724430084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40707993507385254},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38338765501976013},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32250893115997314},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09614726901054382},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asp-dac47756.2020.9045178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac47756.2020.9045178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)","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":27,"referenced_works":["https://openalex.org/W2005602803","https://openalex.org/W2053902150","https://openalex.org/W2099184857","https://openalex.org/W2111104699","https://openalex.org/W2133665775","https://openalex.org/W2143668817","https://openalex.org/W2171235719","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2535860792","https://openalex.org/W2770762651","https://openalex.org/W2771551340","https://openalex.org/W2809465272","https://openalex.org/W2886700560","https://openalex.org/W2899885603","https://openalex.org/W2913204915","https://openalex.org/W2939908742","https://openalex.org/W2945764596","https://openalex.org/W2946543926","https://openalex.org/W2963073614","https://openalex.org/W2963800363","https://openalex.org/W2997871849","https://openalex.org/W3140720939","https://openalex.org/W6663783973","https://openalex.org/W6676486451","https://openalex.org/W6702130928","https://openalex.org/W6729966448"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W3146360095","https://openalex.org/W2184011203","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W2154356865"],"abstract_inverted_index":{"To":[0],"speed":[1],"up":[2,105],"the":[3,16,25,30,49,68,96,113],"FPGA":[4,22,83],"placement":[5,26,69,97],"and":[6],"routing":[7,17],"closure,":[8],"we":[9],"propose":[10],"a":[11,78],"novel":[12,75],"approach":[13,39,91],"to":[14,47,99,106],"predict":[15],"congestion":[18,101],"map":[19],"for":[20,56,112],"large-scale":[21,82],"designs":[23],"at":[24],"stage.":[27,70],"After":[28],"reformulating":[29],"problem":[31],"into":[32,95],"an":[33],"image":[34,58],"translation":[35,59],"task,":[36],"our":[37,74,89],"proposed":[38,90],"leverages":[40],"recent":[41],"advancement":[42],"in":[43,104,109,117],"generative":[44,53],"adversarial":[45,54],"learning":[46],"address":[48],"task.":[50],"Particularly,":[51],"state-of-the-art":[52],"networks":[55],"high-resolution":[57],"are":[60],"used":[61],"along":[62],"with":[63],"well-engineered":[64],"features":[65],"extracted":[66],"from":[67],"Unlike":[71],"available":[72],"approaches,":[73],"framework":[76],"demonstrates":[77],"capability":[79],"of":[80],"handling":[81],"designs.":[84],"With":[85],"its":[86],"superior":[87],"accuracy,":[88],"can":[92],"be":[93],"incorporated":[94],"engine":[98],"provide":[100],"prediction":[102],"resulting":[103],"7%":[107],"reduction":[108],"routed":[110],"wirelength":[111],"most":[114],"congested":[115],"design":[116],"ISPD":[118],"2016":[119],"benchmark.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
