{"id":"https://openalex.org/W2788447492","doi":"https://doi.org/10.1145/3174243.3174268","title":"A Scalable Approach to Exact Resource-Constrained Scheduling Based on a Joint SDC and SAT Formulation","display_name":"A Scalable Approach to Exact Resource-Constrained Scheduling Based on a Joint SDC and SAT Formulation","publication_year":2018,"publication_date":"2018-02-15","ids":{"openalex":"https://openalex.org/W2788447492","doi":"https://doi.org/10.1145/3174243.3174268","mag":"2788447492"},"language":"en","primary_location":{"id":"doi:10.1145/3174243.3174268","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3174243.3174268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","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/A5030894829","display_name":"Steve Dai","orcid":"https://orcid.org/0000-0002-5045-1964"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Steve Dai","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102779166","display_name":"Gai Liu","orcid":"https://orcid.org/0000-0001-8538-686X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gai Liu","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037210004","display_name":"Zhiru Zhang","orcid":"https://orcid.org/0000-0002-0778-0308"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiru Zhang","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030894829"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":1.8425,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84175671,"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":"137","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","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"}},"topics":[{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","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"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9994999766349792,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9980999827384949,"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":0.8045452833175659},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5712766051292419},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5285629034042358},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.5174099206924438},{"id":"https://openalex.org/keywords/two-level-scheduling","display_name":"Two-level scheduling","score":0.5157690048217773},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5130940675735474},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5053020119667053},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.4950091242790222},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.47348129749298096},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4202684760093689},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39627212285995483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24727138876914978},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.16323143243789673},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12804746627807617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11082005500793457},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.09218522906303406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045452833175659},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5712766051292419},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5285629034042358},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5174099206924438},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.5157690048217773},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5130940675735474},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5053020119667053},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.4950091242790222},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.47348129749298096},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4202684760093689},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39627212285995483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24727138876914978},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.16323143243789673},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12804746627807617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11082005500793457},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.09218522906303406},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3174243.3174268","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3174243.3174268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G4836536161","display_name":null,"funder_award_id":"1337240, 1453378, 1512937, 1618275","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W49465025","https://openalex.org/W1508051931","https://openalex.org/W1518101386","https://openalex.org/W1986207994","https://openalex.org/W1996464317","https://openalex.org/W1999396796","https://openalex.org/W2005573219","https://openalex.org/W2006162484","https://openalex.org/W2015332951","https://openalex.org/W2018055497","https://openalex.org/W2028558381","https://openalex.org/W2035369415","https://openalex.org/W2057332688","https://openalex.org/W2057361103","https://openalex.org/W2060569848","https://openalex.org/W2061230651","https://openalex.org/W2071189607","https://openalex.org/W2073137766","https://openalex.org/W2085884196","https://openalex.org/W2096307462","https://openalex.org/W2107750539","https://openalex.org/W2111130897","https://openalex.org/W2122078405","https://openalex.org/W2129183345","https://openalex.org/W2131481230","https://openalex.org/W2137351629","https://openalex.org/W2147088458","https://openalex.org/W2154593868","https://openalex.org/W2156499539","https://openalex.org/W2160089068","https://openalex.org/W2166029537","https://openalex.org/W2294320930","https://openalex.org/W2489773810","https://openalex.org/W2585080403","https://openalex.org/W2585583922","https://openalex.org/W2587503684","https://openalex.org/W2762910930","https://openalex.org/W2798876948","https://openalex.org/W4239489018","https://openalex.org/W4250711925"],"related_works":["https://openalex.org/W2546696010","https://openalex.org/W1992741870","https://openalex.org/W3195954751","https://openalex.org/W2341020305","https://openalex.org/W2091980923","https://openalex.org/W1904356719","https://openalex.org/W1963928426","https://openalex.org/W2156285842","https://openalex.org/W2096052440","https://openalex.org/W2024953199"],"abstract_inverted_index":{"Despite":[0],"increasing":[1],"adoption":[2],"of":[3,24,65,79,93,121,126,171,178],"high-level":[4],"synthesis":[5],"(HLS)":[6],"for":[7],"its":[8],"design":[9],"productivity":[10],"advantage,":[11],"success":[12],"in":[13,142],"achieving":[14],"high":[15],"quality-of-results":[16],"out-of-the-box":[17],"is":[18,133],"often":[19],"hindered":[20],"by":[21],"the":[22,25,34,113,119,145,169],"inexactness":[23],"common":[26],"HLS":[27,38,164],"optimizations.":[28],"In":[29],"particular,":[30],"while":[31,151],"scheduling":[32,41,74,94,115,131,158,173],"forms":[33],"algorithmic":[35],"core":[36],"to":[37,88,108,135],"technology,":[39],"current":[40],"algorithms":[42,123],"rely":[43],"heavily":[44],"on":[45,77,102,137],"fundamentally":[46],"inexact":[47],"heuristics":[48],"that":[49],"make":[50],"ad":[51],"hoc":[52],"local":[53],"decisions":[54],"and":[55,58,84,105,110,124],"cannot":[56],"accurately":[57],"globally":[59],"optimize":[60],"over":[61,139,144],"a":[62,73,91,98,161,176],"rich":[63],"set":[64],"constraints.":[66,95],"To":[67],"tackle":[68],"this":[69],"challenge,":[70],"we":[71,166],"propose":[72],"formulation":[75,159],"based":[76,101],"system":[78],"integer":[80,146],"difference":[81],"constraints":[82],"(SDC)":[83],"Boolean":[85],"satisfiability":[86],"(SAT)":[87],"exactly":[89],"handle":[90],"variety":[92],"We":[96],"develop":[97],"specialized":[99],"scheduler":[100],"conflict-driven":[103],"learning":[104],"problem-specific":[106],"knowledge":[107],"optimally":[109],"efficiently":[111],"solve":[112],"resource-constrained":[114],"problem.":[116],"By":[117,155],"leveraging":[118],"efficiency":[120],"SDC":[122],"scalability":[125],"modern":[127],"SAT":[128],"solvers,":[129],"our":[130,157,172],"technique":[132,174],"able":[134],"achieve":[136],"average":[138],"100x":[140],"improvement":[141],"runtime":[143],"linear":[147],"programming":[148],"(ILP)":[149],"approach":[150],"attaining":[152],"optimal":[153],"latency.":[154],"integrating":[156],"into":[160],"state-of-the-art":[162],"open-source":[163],"tool,":[165],"further":[167],"demonstrate":[168],"applicability":[170],"with":[175],"suite":[177],"representative":[179],"benchmarks":[180],"targeting":[181],"FPGAs.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}