{"id":"https://openalex.org/W3033424864","doi":"https://doi.org/10.1145/3394450.3397467","title":"Learning quantitative representation synthesis","display_name":"Learning quantitative representation synthesis","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3033424864","doi":"https://doi.org/10.1145/3394450.3397467","mag":"3033424864"},"language":"en","primary_location":{"id":"doi:10.1145/3394450.3397467","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394450.3397467","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394450.3397467","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3394450.3397467","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101493714","display_name":"Mayur Patil","orcid":"https://orcid.org/0009-0009-6548-1857"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mayur Patil","raw_affiliation_strings":["University of California at Riverside, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045731430","display_name":"Farzin Houshmand","orcid":"https://orcid.org/0000-0001-8516-2401"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farzin Houshmand","raw_affiliation_strings":["University of California at Riverside, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088825348","display_name":"Mohsen Lesani","orcid":"https://orcid.org/0000-0002-3165-2322"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Lesani","raw_affiliation_strings":["University of California at Riverside, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07799167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.998199999332428,"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":0.8836294412612915},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6360613107681274},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.559978187084198},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5497286319732666},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5038585066795349},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4482835829257965},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4336528182029724},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.35878515243530273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33547350764274597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3081752061843872},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.18551522493362427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8836294412612915},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6360613107681274},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.559978187084198},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5497286319732666},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5038585066795349},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4482835829257965},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4336528182029724},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.35878515243530273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33547350764274597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3081752061843872},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.18551522493362427},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394450.3397467","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394450.3397467","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394450.3397467","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3394450.3397467","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394450.3397467","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394450.3397467","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033424864.pdf","grobid_xml":"https://content.openalex.org/works/W3033424864.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W135418751","https://openalex.org/W166724137","https://openalex.org/W416612450","https://openalex.org/W1214620947","https://openalex.org/W1495226832","https://openalex.org/W1573503290","https://openalex.org/W1590443763","https://openalex.org/W1786377004","https://openalex.org/W1915338469","https://openalex.org/W1935259232","https://openalex.org/W1970621822","https://openalex.org/W1974514467","https://openalex.org/W1988144253","https://openalex.org/W2023330258","https://openalex.org/W2026775511","https://openalex.org/W2030183445","https://openalex.org/W2036984542","https://openalex.org/W2038347389","https://openalex.org/W2063050381","https://openalex.org/W2068617930","https://openalex.org/W2087987137","https://openalex.org/W2089901765","https://openalex.org/W2093127332","https://openalex.org/W2093795952","https://openalex.org/W2096343842","https://openalex.org/W2098575846","https://openalex.org/W2101939036","https://openalex.org/W2105601023","https://openalex.org/W2106703803","https://openalex.org/W2113751407","https://openalex.org/W2115346866","https://openalex.org/W2122607012","https://openalex.org/W2122735631","https://openalex.org/W2129458440","https://openalex.org/W2135275954","https://openalex.org/W2137824953","https://openalex.org/W2138567239","https://openalex.org/W2140227464","https://openalex.org/W2142739195","https://openalex.org/W2149298504","https://openalex.org/W2155487709","https://openalex.org/W2160985005","https://openalex.org/W2161159055","https://openalex.org/W2165461546","https://openalex.org/W2165504557","https://openalex.org/W2169611673","https://openalex.org/W2237920773","https://openalex.org/W2293033107","https://openalex.org/W2413028252","https://openalex.org/W2417132441","https://openalex.org/W2555085223","https://openalex.org/W2586398916","https://openalex.org/W2588022964","https://openalex.org/W2610777504","https://openalex.org/W2794901250","https://openalex.org/W2798340189","https://openalex.org/W2953166082","https://openalex.org/W2998756195","https://openalex.org/W3014235357","https://openalex.org/W3104857038","https://openalex.org/W3121926921","https://openalex.org/W3139576051","https://openalex.org/W4242239856","https://openalex.org/W4244168173"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595","https://openalex.org/W2516693588","https://openalex.org/W2116112408"],"abstract_inverted_index":{"Software":[0],"systems":[1],"often":[2],"use":[3],"specialized":[4],"combinations":[5],"of":[6,38,91,109,140,177],"data":[7,18,33,51],"structures":[8,19,61],"to":[9,59,70,103,117,151,172],"store":[10],"and":[11,15,25,41,44,48,85,105,130],"retrieve":[12],"data.":[13],"Designing":[14],"maintaining":[16],"custom":[17],"particularly":[20],"concurrent":[21,50,72],"ones":[22],"is":[23,128],"time-consuming":[24,129],"error-prone.We":[26],"let":[27],"the":[28,31,65,75,82,92,107,110,123,156,175],"user":[29],"declare":[30],"required":[32],"as":[34],"a":[35,39,131,148,161],"high-level":[36],"specification":[37,84],"relation":[40],"method":[42],"interface,":[43],"automatically":[45],"synthesize":[46,60,68,186],"correct":[47],"efficient":[49,94],"representations.":[52,179,188],"We":[53,146,159],"present":[54,147],"provably":[55],"sound":[56],"syntactic":[57],"derivations":[58],"that":[62,154,166,183],"efficiently":[63],"support":[64,71],"interface.We":[66],"then":[67],"synchronization":[69],"execution":[73,124],"on":[74],"structures.":[76],"Multiple":[77],"candidate":[78,178],"representations":[79],"may":[80],"satisfy":[81],"same":[83],"we":[86],"aim":[87],"at":[88],"quantitative":[89,152],"selection":[90],"most":[93],"candidate.":[95],"Previous":[96],"works":[97],"have":[98],"either":[99],"used":[100,113],"dynamic":[101],"auto-tuners":[102],"execute":[104],"measure":[106],"performance":[108,133,157,176],"candidates":[111,127],"or":[112],"static":[114],"cost":[115],"functions":[116],"estimate":[118],"their":[119],"performance.":[120],"However,":[121],"repeating":[122],"for":[125],"many":[126],"single":[132],"model":[134],"cannot":[135],"be":[136],"an":[137,168],"effective":[138],"predictor":[139],"all":[141,144],"workloads":[142],"across":[143],"platforms.":[145],"novel":[149],"approach":[150],"synthesis":[153,162],"learns":[155],"model.":[158],"developed":[160],"tool":[163],"called":[164],"Leqsy":[165,184],"trains":[167],"artificial":[169],"neural":[170],"network":[171],"statically":[173],"predict":[174],"Experimental":[180],"evaluations":[181],"demonstrate":[182],"can":[185],"near-optimum":[187]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}