{"id":"https://openalex.org/W3005043659","doi":"https://doi.org/10.1109/asicon47005.2019.8983519","title":"A Fast Reduction Method for Path Process Variations Without Time-Consuming Training","display_name":"A Fast Reduction Method for Path Process Variations Without Time-Consuming Training","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3005043659","doi":"https://doi.org/10.1109/asicon47005.2019.8983519","mag":"3005043659"},"language":"en","primary_location":{"id":"doi:10.1109/asicon47005.2019.8983519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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/A5101741811","display_name":"Wenjie Fu","orcid":"https://orcid.org/0000-0002-2772-6712"},"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":true,"raw_author_name":"Wenjie Fu","raw_affiliation_strings":["National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101515542","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-0834-6124"},"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":"Yu Zheng","raw_affiliation_strings":["National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050955798","display_name":"Leilei Jin","orcid":"https://orcid.org/0000-0002-0534-3593"},"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":"Leilei Jin","raw_affiliation_strings":["National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078395317","display_name":"Ming Ling","orcid":"https://orcid.org/0000-0002-8866-7189"},"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":"Ming Ling","raw_affiliation_strings":["National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"National ASIC System Engineering Technology Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101741811"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49760784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9997000098228455,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9997000098228455,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9995999932289124,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","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/spice","display_name":"Spice","score":0.7978768944740295},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7709319591522217},{"id":"https://openalex.org/keywords/process-variation","display_name":"Process variation","score":0.709679365158081},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6962540745735168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6809078454971313},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6478308439254761},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6353861689567566},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6041029095649719},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5465708374977112},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5029188990592957},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.43521642684936523},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.42855358123779297},{"id":"https://openalex.org/keywords/critical-path-method","display_name":"Critical path method","score":0.41102659702301025},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32405465841293335},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2975223660469055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24892199039459229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22048288583755493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21918407082557678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12667104601860046}],"concepts":[{"id":"https://openalex.org/C2780077345","wikidata":"https://www.wikidata.org/wiki/Q16891888","display_name":"Spice","level":2,"score":0.7978768944740295},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7709319591522217},{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.709679365158081},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6962540745735168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6809078454971313},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6478308439254761},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6353861689567566},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6041029095649719},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5465708374977112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5029188990592957},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.43521642684936523},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.42855358123779297},{"id":"https://openalex.org/C115874739","wikidata":"https://www.wikidata.org/wiki/Q825377","display_name":"Critical path method","level":2,"score":0.41102659702301025},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32405465841293335},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2975223660469055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24892199039459229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22048288583755493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21918407082557678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12667104601860046},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon47005.2019.8983519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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":7,"referenced_works":["https://openalex.org/W1547760662","https://openalex.org/W1988698377","https://openalex.org/W2089468765","https://openalex.org/W2099741732","https://openalex.org/W2100235303","https://openalex.org/W2101603586","https://openalex.org/W2344454022"],"related_works":["https://openalex.org/W2204879205","https://openalex.org/W2096437374","https://openalex.org/W1943174035","https://openalex.org/W1928481607","https://openalex.org/W3135165657","https://openalex.org/W1485582195","https://openalex.org/W57337972","https://openalex.org/W2313216219","https://openalex.org/W1561306903","https://openalex.org/W2793417036"],"abstract_inverted_index":{"In":[0,36],"deeply":[1],"nano-scaled":[2],"technology":[3],"nodes,":[4],"the":[5,11,23,55,70,73,91,96,103,116,128],"number":[6],"of":[7,10,42,72,102,127],"process":[8,43,62,129],"variations":[9,44],"circuits":[12],"will":[13],"be":[14],"up":[15],"to":[16],"thousands.":[17],"Although":[18],"dimensionality":[19],"reduction":[20,64],"can":[21],"reduce":[22],"complexity":[24],"for":[25,45],"circuit":[26,134],"modeling,":[27],"it":[28],"always":[29],"needs":[30],"SPICE":[31,119],"and":[32,77,98,112],"Monte":[33],"Carlo":[34],"simulations.":[35,120],"this":[37],"paper,":[38],"a":[39,60,124],"weight":[40],"model":[41,122],"each":[46],"individual":[47],"cell":[48,74],"is":[49,52,66,83],"proposed,":[50],"which":[51],"fed":[53],"with":[54,115],"operation":[56],"conditions.":[57],"After":[58],"that,":[59],"path":[61],"variation":[63,130],"method":[65,82,108],"proposed":[67,81],"by":[68],"considering":[69],"influence":[71],"delay":[75,104],"deviations":[76],"their":[78],"weights.":[79],"The":[80,121],"verified":[84],"under":[85],"ISCAS85":[86],"benchmark":[87],"suite.":[88],"When":[89],"selecting":[90],"top":[92],"20%":[93],"critical":[94],"variations,":[95],"mean":[97],"standard":[99],"deviation":[100],"errors":[101],"distribution":[105],"in":[106],"our":[107],"are":[109],"merely":[110],"0.06%":[111],"0.56%":[113],"compared":[114],"results":[117],"from":[118],"realizes":[123],"fast":[125],"quantification":[126],"effects":[131],"on":[132],"any":[133],"without":[135],"time-consuming":[136],"training":[137],"processes.":[138]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
