{"id":"https://openalex.org/W4410887786","doi":"https://doi.org/10.1109/isqed65160.2025.11014419","title":"Improving Routability Prediction via NAS Using a Smooth One-Shot Augmented Predictor","display_name":"Improving Routability Prediction via NAS Using a Smooth One-Shot Augmented Predictor","publication_year":2025,"publication_date":"2025-04-23","ids":{"openalex":"https://openalex.org/W4410887786","doi":"https://doi.org/10.1109/isqed65160.2025.11014419"},"language":"en","primary_location":{"id":"doi:10.1109/isqed65160.2025.11014419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed65160.2025.11014419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 26th International Symposium on Quality Electronic Design (ISQED)","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/A5021211384","display_name":"Arjun Sridhar","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arjun Sridhar","raw_affiliation_strings":["Duke University,CEI Lab,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,CEI Lab,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028018784","display_name":"Chen-Chia Chang","orcid":"https://orcid.org/0000-0003-3115-0733"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen-Chia Chang","raw_affiliation_strings":["Duke University,CEI Lab,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,CEI Lab,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749751","display_name":"Junyao Zhang","orcid":"https://orcid.org/0000-0002-6300-5875"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyao Zhang","raw_affiliation_strings":["Duke University,CEI Lab,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,CEI Lab,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Duke University,CEI Lab,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,CEI Lab,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021211384"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13807004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9677000045776367,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9677000045776367,"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":0.6182448863983154},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5573548078536987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41037338972091675},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07459685206413269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182448863983154},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5573548078536987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41037338972091675},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07459685206413269},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed65160.2025.11014419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed65160.2025.11014419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 26th International Symposium on Quality Electronic Design (ISQED)","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":27,"referenced_works":["https://openalex.org/W2086263527","https://openalex.org/W2090971357","https://openalex.org/W2113125366","https://openalex.org/W2124618076","https://openalex.org/W2152406824","https://openalex.org/W2161629461","https://openalex.org/W2771551340","https://openalex.org/W2899885603","https://openalex.org/W2939908742","https://openalex.org/W2950504762","https://openalex.org/W2963125010","https://openalex.org/W3012124806","https://openalex.org/W3013719760","https://openalex.org/W3094801149","https://openalex.org/W3096533519","https://openalex.org/W3110101869","https://openalex.org/W3110869743","https://openalex.org/W3193692689","https://openalex.org/W4293024038","https://openalex.org/W4385767850","https://openalex.org/W4389166723","https://openalex.org/W6677088747","https://openalex.org/W6729956949","https://openalex.org/W6734593296","https://openalex.org/W6759402996","https://openalex.org/W6762551481","https://openalex.org/W6781941078"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574"],"abstract_inverted_index":{"Routability":[0],"optimization":[1],"in":[2,38,143],"modern":[3],"EDA":[4],"tools":[5],"has":[6],"benefited":[7],"greatly":[8],"from":[9],"using":[10],"machine":[11],"learning":[12],"(ML)":[13],"models.":[14,45],"Constructing":[15],"and":[16,41,70,109,115,156],"optimizing":[17],"the":[18,39,64,67,71,77,81,85,130,138],"performance":[19,132],"of":[20,43,59,84,113,154,160],"ML":[21],"models":[22],"continues":[23],"to":[24,36,50,76,100,129,150],"be":[25],"a":[26,34,57,94,110,157],"challenge.":[27],"Neural":[28],"Architecture":[29],"Search":[30],"(NAS)":[31],"serves":[32],"as":[33,56],"tool":[35],"aid":[37],"construction":[40],"improvement":[42],"these":[44,102],"Traditional":[46],"NAS":[47,78,96],"techniques":[48,108],"struggle":[49],"perform":[51],"well":[52],"on":[53],"routability":[54],"prediction":[55],"result":[58],"two":[60],"primary":[61],"factors.":[62],"First,":[63],"separation":[65],"between":[66],"training":[68],"objective":[69,73,87],"search":[72,86],"adds":[74],"noise":[75],"process.":[79],"Secondly,":[80],"increased":[82],"variance":[83],"further":[88],"complicates":[89],"performing":[90],"NAS.":[91,117],"We":[92],"craft":[93],"novel":[95,105,111],"technique,":[97],"coined":[98],"SOAP-NAS,":[99],"address":[101],"challenges":[103],"through":[104],"data":[106],"augmentation":[107],"combination":[112],"one-shot":[114],"predictor-based":[116],"Results":[118],"show":[119],"that":[120],"our":[121],"technique":[122],"outperforms":[123],"existing":[124],"solutions":[125],"by":[126,134],"40%":[127],"closer":[128],"ideal":[131],"measured":[133],"ROC-AUC":[135,153],"(area":[136],"under":[137],"receiver":[139],"operating":[140],"characteristic":[141],"curve)":[142],"DRC":[144],"hotspot":[145],"detection.":[146],"SOAPNet":[147],"is":[148],"able":[149],"achieve":[151],"an":[152],"0.9802":[155],"query":[158],"time":[159],"only":[161],"0.461":[162],"ms.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
