{"id":"https://openalex.org/W2615975792","doi":"https://doi.org/10.1145/3060403.3060446","title":"LUTOSAP","display_name":"LUTOSAP","publication_year":2017,"publication_date":"2017-05-10","ids":{"openalex":"https://openalex.org/W2615975792","doi":"https://doi.org/10.1145/3060403.3060446","mag":"2615975792"},"language":"en","primary_location":{"id":"doi:10.1145/3060403.3060446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3060403.3060446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2017","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/A5002848773","display_name":"Lingxuan Shao","orcid":"https://orcid.org/0000-0001-8061-7913"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingxuan Shao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103068983","display_name":"Yibin Yang","orcid":"https://orcid.org/0000-0002-4727-1110"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058812423","display_name":"Hailong Yao","orcid":"https://orcid.org/0000-0002-8750-3086"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Yao","raw_affiliation_strings":["Tsinghhua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghhua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062800747","display_name":"Tsung-Yi Ho","orcid":"https://orcid.org/0000-0001-7348-5625"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsung-Yi Ho","raw_affiliation_strings":["National Tsing Hua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111983610","display_name":"Yici Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yici Cai","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002848773"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.1467,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79594591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"447","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12452","display_name":"Electrowetting and Microfluidic Technologies","score":0.9995999932289124,"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/T12452","display_name":"Electrowetting and Microfluidic Technologies","score":0.9995999932289124,"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/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.9889000058174133,"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"}},{"id":"https://openalex.org/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.7045106887817383},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6948327422142029},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6131277680397034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5361746549606323},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.5217357873916626},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5185942649841309},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5059980750083923},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.46775269508361816},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33695167303085327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2002512812614441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15969157218933105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08263698220252991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045106887817383},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6948327422142029},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6131277680397034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5361746549606323},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.5217357873916626},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5185942649841309},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5059980750083923},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.46775269508361816},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33695167303085327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2002512812614441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15969157218933105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08263698220252991},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3060403.3060446","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3060403.3060446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2017","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4745706501","display_name":null,"funder_award_id":"105-2221-E-007-118-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4836481029","display_name":null,"funder_award_id":"61674093,61274031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1978240589","https://openalex.org/W2015881798","https://openalex.org/W2052580805","https://openalex.org/W2095086030","https://openalex.org/W2104622925","https://openalex.org/W2109834102","https://openalex.org/W2161283167"],"related_works":["https://openalex.org/W2798215405","https://openalex.org/W2990962948","https://openalex.org/W2084169748","https://openalex.org/W2011675579","https://openalex.org/W4285278887","https://openalex.org/W2365237642","https://openalex.org/W2995925505","https://openalex.org/W2773399470","https://openalex.org/W3116484972","https://openalex.org/W2941986668"],"abstract_inverted_index":{"Existing":[0],"sample":[1,40,58,69,88,121,146],"preparation":[2,41,59,89,122],"algorithms":[3],"are":[4],"either":[5],"based":[6,22,43,129],"on":[7,23,44,130],"NP-style":[8],"problem":[9],"formulations,":[10],"e.g.,":[11],"using":[12],"integer":[13],"linear":[14],"programming":[15],"(ILP),":[16],"which":[17,26,106,137],"runs":[18],"very":[19],"slowly,":[20],"or":[21],"heuristic":[24],"algorithms,":[25],"cannot":[27],"obtain":[28],"optimal":[29,87],"solutions":[30,90],"regarding":[31],"different":[32],"objectives.":[33],"This":[34],"paper":[35],"proposes":[36],"the":[37,45,62,65,74,94,119,131,140],"first":[38],"online":[39,57,145],"algorithm":[42,123],"lookup":[46,133],"table":[47,134],"method,":[48],"named":[49],"LUTOSAP.":[50],"LUTOSAP":[51,85,125],"enables":[52],"fast":[53],"query":[54],"response":[55],"for":[56,99],"requirements":[60,143],"with":[61],"solution":[63,128],"where":[64],"weighted":[66],"sum":[67],"of":[68,76,97,109],"consumption,":[70,72],"buffer":[71],"and":[73,102],"number":[75],"mix-split":[77],"operations":[78],"is":[79,107],"optimized.":[80],"Experimental":[81],"results":[82],"show":[83],"that":[84],"obtains":[86,126],"in":[91,124,135,144],"microseconds":[92],"within":[93],"accuracy":[95],"tolerance":[96],"$0.2\\%$":[98],"both":[100],"single":[101],"double":[103],"concentration":[104,117],"values,":[105,118],"orders":[108],"magnitude":[110],"faster":[111],"than":[112],"existing":[113],"algorithms.":[114],"For":[115],"multiple":[116],"multiple-target":[120],"near-optimal":[127],"constructed":[132],"microseconds,":[136],"well":[138],"meets":[139],"critical":[141],"fast-response":[142],"preparation.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-05-26T00:00:00"}