{"id":"https://openalex.org/W4414198569","doi":"https://doi.org/10.1109/dac63849.2025.11133163","title":"Late Breaking Results: BLAST: Bisection-Free Learning Approach for Statistical Timing Characterization","display_name":"Late Breaking Results: BLAST: Bisection-Free Learning Approach for Statistical Timing Characterization","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414198569","doi":"https://doi.org/10.1109/dac63849.2025.11133163"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11133163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11133163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5101151188","display_name":"Kai Jing","orcid":"https://orcid.org/0000-0002-4306-0148"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Jing","raw_affiliation_strings":["Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102221132","display_name":"Tao Bai","orcid":"https://orcid.org/0000-0002-6692-2599"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Bai","raw_affiliation_strings":["Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090991497","display_name":"Zeyuan Deng","orcid":"https://orcid.org/0009-0006-9534-1917"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyuan Deng","raw_affiliation_strings":["Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024461098","display_name":"J. B. Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junming Jiao","raw_affiliation_strings":["Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046599843","display_name":"Peng Cao","orcid":"https://orcid.org/0000-0003-2039-9031"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cao","raw_affiliation_strings":["Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National ASIC System Engineering Technology Research Center,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23946741,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.8844000101089478,"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":0.8844000101089478,"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/T10142","display_name":"Formal Methods in Verification","score":0.8409000039100647,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.8008000254631042,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/path","display_name":"Path (computing)","score":0.618399977684021},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6136999726295471},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.499099999666214},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.489300012588501},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.48350000381469727},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.44929999113082886},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.42570000886917114},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.3961000144481659},{"id":"https://openalex.org/keywords/time-constraint","display_name":"Time constraint","score":0.3953000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553999781608582},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.618399977684021},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6136999726295471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.548799991607666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4219000041484833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984000086784363},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C93682380","wikidata":"https://www.wikidata.org/wiki/Q2025226","display_name":"Static timing analysis","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C115874739","wikidata":"https://www.wikidata.org/wiki/Q825377","display_name":"Critical path method","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C3017489831","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Running time","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C1465435","wikidata":"https://www.wikidata.org/wiki/Q2916352","display_name":"Longest path problem","level":4,"score":0.2531000077724457},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11133163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11133163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2106877574","https://openalex.org/W2741248434","https://openalex.org/W2782282142","https://openalex.org/W2944130837","https://openalex.org/W3142835241"],"related_works":[],"abstract_inverted_index":{"Statistical":[0,33],"timing":[1,75],"characterization":[2],"for":[3,16,32,41,73,112,130],"standard":[4],"cells":[5,49],"faces":[6],"significant":[7],"computational":[8],"challenges":[9],"due":[10],"to":[11,63,84,121],"the":[12,65,78,100,108,122,136],"laborious":[13],"bisection":[14,110],"analysis":[15],"setup/hold":[17],"constraint":[18,72,114],"of":[19,143,153],"sequential":[20,48],"cells.":[21],"To":[22],"address":[23],"this":[24],"issue,":[25],"we":[26],"propose":[27],"a":[28,58],"Bisection-Free":[29],"Learning":[30],"Approach":[31],"Timing":[34],"Characterization":[35],"(BLAST)":[36],"by":[37,106,133],"extracting":[38],"inherent":[39],"delay":[40],"data":[42],"path":[43,46],"and":[44,70,148],"clock":[45],"in":[47],"as":[50],"specific":[51],"features.":[52],"Multi-task":[53],"learning":[54,80,86],"is":[55,82,128],"implemented":[56],"with":[57,94,116,135],"multi-gate":[59],"mixture-of-experts":[60],"(MMoE)":[61],"model":[62],"exploit":[64],"profound":[66],"interdependency":[67],"between":[68],"setup":[69],"hold":[71],"different":[74],"arcs,":[76],"where":[77],"active":[79],"strategy":[81],"incorporated":[83],"improve":[85],"efficiency.":[87],"Experimental":[88],"results":[89],"under":[90],"135":[91],"PVT":[92],"corners":[93],"TSMC":[95],"12nm":[96],"process":[97],"demonstrate":[98],"that":[99],"proposed":[101],"BLAST":[102,134],"achieves":[103],"considerable":[104],"acceleration":[105],"avoiding":[107],"iterative":[109],"search":[111],"statistical":[113],"prediction":[115,126],"76.9%":[117],"runtime":[118],"reduction":[119],"compared":[120],"commercial":[123],"tool.":[124],"Excellent":[125],"accuracy":[127],"achieved":[129],"various":[131],"flip-flops":[132],"relative":[137],"root":[138],"mean":[139],"square":[140],"error":[141,151],"(rRMSE)":[142],"$\\mathbf{2.":[144],"2":[145],"1":[146],"\\%}$":[147],"worst-case":[149],"absolute":[150],"(WCAE)":[152],"0.82":[154],"ps.":[155]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
