{"id":"https://openalex.org/W4312076521","doi":"https://doi.org/10.1145/3508352.3549456","title":"ASPPLN","display_name":"ASPPLN","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4312076521","doi":"https://doi.org/10.1145/3508352.3549456"},"language":"en","primary_location":{"id":"doi:10.1145/3508352.3549456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508352.3549456","pdf_url":null,"source":{"id":"https://openalex.org/S4363608844","display_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","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/A5000153296","display_name":"Weihua Xiao","orcid":"https://orcid.org/0000-0003-0142-8829"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Xiao","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036572182","display_name":"Weikang Qian","orcid":"https://orcid.org/0000-0002-5129-9431"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikang Qian","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20024157,"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":"9"},"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":0.9998999834060669,"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/T10363","display_name":"Low-power high-performance VLSI design","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/T11005","display_name":"Radiation Effects in Electronics","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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998999834060669,"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":0.7718909978866577},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5914660692214966},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5571708083152771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5362403392791748},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4658191204071045},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.44967252016067505},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.44622179865837097},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.4334176778793335},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41873684525489807},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4023189842700958},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2858644723892212},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14824256300926208},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1144915223121643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718909978866577},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5914660692214966},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5571708083152771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5362403392791748},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4658191204071045},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.44967252016067505},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.44622179865837097},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.4334176778793335},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41873684525489807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4023189842700958},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2858644723892212},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14824256300926208},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1144915223121643},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508352.3549456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508352.3549456","pdf_url":null,"source":{"id":"https://openalex.org/S4363608844","display_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","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":18,"referenced_works":["https://openalex.org/W1977545135","https://openalex.org/W2071310017","https://openalex.org/W2096424065","https://openalex.org/W2102749890","https://openalex.org/W2111379929","https://openalex.org/W2122543140","https://openalex.org/W2125169487","https://openalex.org/W2144038574","https://openalex.org/W2158102622","https://openalex.org/W2164875860","https://openalex.org/W2165874791","https://openalex.org/W2242458479","https://openalex.org/W2800189959","https://openalex.org/W2946374992","https://openalex.org/W3091917448","https://openalex.org/W3092027164","https://openalex.org/W3144286968","https://openalex.org/W4225963381"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W3138386522","https://openalex.org/W2499279132","https://openalex.org/W2152977866","https://openalex.org/W2094865524"],"abstract_inverted_index":{"Probability":[0],"propagation":[1,77,110,130],"is":[2,121],"an":[3],"important":[4],"task":[5,43],"used":[6],"in":[7,78,96],"logic":[8,79],"network":[9,88],"analysis,":[10,32],"which":[11,81],"propagates":[12],"signal":[13],"probabilities":[14],"from":[15,59],"its":[16,20],"primary":[17,21],"inputs":[18],"to":[19,107,123,132,146,160,170],"outputs.":[22],"It":[23],"has":[24,82,165],"many":[25],"applications":[26],"such":[27],"as":[28],"power":[29],"estimation,":[30],"reliability":[31],"and":[33,51,102],"error":[34],"analysis":[35],"for":[36,41,73],"approximate":[37],"circuits.":[38],"Existing":[39],"methods":[40],"the":[42,87,109,125,133,138,147,152],"can":[44],"be":[45],"divided":[46],"into":[47],"two":[48],"categories:":[49],"simulation-based":[50],"probability-based":[52],"methods.":[53],"However,":[54],"most":[55],"of":[56,105,127,137,155,168],"them":[57],"suffer":[58],"low":[60],"accuracy":[61,154],"or":[62],"bad":[63],"scalability.":[64],"In":[65],"this":[66],"work,":[67],"we":[68],"propose":[69],"ASPPLN,":[70],"a":[71,83,93,97,116,166],"method":[72],"accelerated":[74],"symbolic":[75],"probability":[76,135],"network,":[80],"linear":[84],"complexity":[85,126],"with":[86],"size.":[89],"We":[90],"first":[91],"introduce":[92],"new":[94],"definition":[95],"graph":[98],"called":[99,118],"redundant":[100],"input":[101],"take":[103],"advantage":[104],"it":[106,163],"simplify":[108],"process":[111],"without":[112],"losing":[113],"accuracy.":[114],"Then,":[115],"technique":[117],"symbol":[119],"limitation":[120],"proposed":[122],"limit":[124],"each":[128],"node's":[129],"according":[131],"partial":[134],"significances":[136],"symbols.":[139],"The":[140],"experimental":[141],"results":[142],"showed":[143],"that":[144],"compared":[145],"existing":[148],"methods,":[149],"ASPPLN":[150],"improves":[151],"estimation":[153],"switching":[156],"activity":[157],"by":[158],"up":[159,169],"24.70%,":[161],"while":[162],"also":[164],"speedup":[167],"29X.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-01-04T00:00:00"}
