{"id":"https://openalex.org/W2574532316","doi":"https://doi.org/10.1109/samos.2016.7818338","title":"Genesys: Automatically generating representative training sets for predictive benchmarking","display_name":"Genesys: Automatically generating representative training sets for predictive benchmarking","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2574532316","doi":"https://doi.org/10.1109/samos.2016.7818338","mag":"2574532316"},"language":"en","primary_location":{"id":"doi:10.1109/samos.2016.7818338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","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/A5102099267","display_name":"Reena Panda","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Reena Panda","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005311196","display_name":"Xinnian Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinnian Zheng","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731553","display_name":"Shuang Song","orcid":"https://orcid.org/0000-0002-0037-1499"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuang Song","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011885746","display_name":"Jee Ho Ryoo","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jee Ho Ryoo","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005659585","display_name":"Michael LeBeane","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael LeBeane","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046024226","display_name":"Andreas Gerstlauer","orcid":"https://orcid.org/0000-0002-6748-2054"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Gerstlauer","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068885069","display_name":"Lizy K. John","orcid":"https://orcid.org/0000-0002-8747-5214"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lizy K John","raw_affiliation_strings":["The University of Texas at Austin"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102099267"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.946,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75606545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"116","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization 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/T10054","display_name":"Parallel Computing and Optimization 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/T11005","display_name":"Radiation Effects in Electronics","score":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/benchmarking","display_name":"Benchmarking","score":0.9032281637191772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8403362035751343},{"id":"https://openalex.org/keywords/spec#","display_name":"Spec#","score":0.8353838920593262},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.669183075428009},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6149126291275024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6030653715133667},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5323019027709961},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4928288757801056},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4875938296318054},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48098981380462646},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47526711225509644},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4540160894393921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44567206501960754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3464311957359314},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.182032972574234},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13302108645439148}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9032281637191772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8403362035751343},{"id":"https://openalex.org/C2778565505","wikidata":"https://www.wikidata.org/wiki/Q2207566","display_name":"Spec#","level":2,"score":0.8353838920593262},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.669183075428009},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6149126291275024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6030653715133667},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5323019027709961},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4928288757801056},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4875938296318054},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48098981380462646},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47526711225509644},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4540160894393921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44567206501960754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3464311957359314},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.182032972574234},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13302108645439148},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/samos.2016.7818338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1656197734","https://openalex.org/W1686420892","https://openalex.org/W1734799737","https://openalex.org/W1935830523","https://openalex.org/W1980351017","https://openalex.org/W1985229168","https://openalex.org/W2027917818","https://openalex.org/W2035252178","https://openalex.org/W2038666141","https://openalex.org/W2056316291","https://openalex.org/W2061247350","https://openalex.org/W2078455576","https://openalex.org/W2093114905","https://openalex.org/W2098279124","https://openalex.org/W2102606870","https://openalex.org/W2109506090","https://openalex.org/W2109814389","https://openalex.org/W2120696572","https://openalex.org/W2131667412","https://openalex.org/W2138146350","https://openalex.org/W2153504150","https://openalex.org/W2154327203","https://openalex.org/W2155072926","https://openalex.org/W2157070686","https://openalex.org/W2161381500","https://openalex.org/W2163290010","https://openalex.org/W2166879008","https://openalex.org/W2168361773","https://openalex.org/W2168654016","https://openalex.org/W2169880332","https://openalex.org/W2215983828","https://openalex.org/W2239144794","https://openalex.org/W2241609746","https://openalex.org/W2546309369","https://openalex.org/W2999097477","https://openalex.org/W3099514962","https://openalex.org/W4232751114","https://openalex.org/W4240865464","https://openalex.org/W6636983485","https://openalex.org/W6637631891","https://openalex.org/W6678045111"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W3082894236","https://openalex.org/W1838930658","https://openalex.org/W3213800328","https://openalex.org/W1986004968","https://openalex.org/W2805359884","https://openalex.org/W2186315912","https://openalex.org/W4252566889"],"abstract_inverted_index":{"Fast":[0],"and":[1,21,100,131,140,188,198,205],"efficient":[2],"design":[3],"space":[4],"exploration":[5],"is":[6,88],"a":[7,147],"critical":[8],"requirement":[9],"for":[10,61],"designing":[11],"computer":[12],"systems,":[13],"however,":[14],"the":[15,56,63,97,107,156,162,169,190],"growing":[16],"complexity":[17],"of":[18,25,49,58,92,96,106,110,144,150,192],"hardware/software":[19],"systems":[20,201],"significantly":[22],"long":[23],"run-times":[24],"detailed":[26],"simulators":[27],"often":[28,89],"makes":[29],"it":[30,87],"challenging.":[31],"Machine":[32],"learning":[33,195],"(ML)":[34],"models":[35],"have":[36,69],"been":[37],"proposed":[38],"as":[39],"popular":[40,176],"alternatives":[41],"that":[42,86,161],"enable":[43],"fast":[44],"exploratory":[45],"studies.":[46],"The":[47],"accuracy":[48,191],"any":[50],"ML":[51],"model":[52],"depends":[53],"heavily":[54],"on":[55],"re-presentativeness":[57],"applications":[59,145,174],"used":[60,70],"training":[62,121,157,165],"predictive":[64,79],"models.":[65],"While":[66],"prior":[67],"studies":[68],"standard":[71],"benchmarks":[72],"or":[73],"hand-tuned":[74],"micro-benchmarks":[75],"to":[76,103,115],"train":[77],"their":[78,93,101],"models,":[80],"in":[81,118],"this":[82],"paper,":[83],"we":[84,123],"argue":[85],"sub-optimal":[90],"because":[91],"limited":[94],"coverage":[95,171],"program":[98,151],"state-space":[99,153,170],"inability":[102],"be":[104],"representative":[105,120],"larger":[108],"suite":[109],"real-world":[111],"applications.":[112],"In":[113],"order":[114],"overcome":[116],"challenges":[117],"creating":[119],"sets,":[122],"propose":[124],"Genesys,":[125],"an":[126],"automatic":[127],"workload":[128],"generation":[129,143],"methodology":[130],"framework,":[132],"which":[133],"builds":[134],"upon":[135,168],"key":[136],"low-level":[137],"application":[138],"characteristics":[139],"enables":[141],"systematic":[142],"covering":[146],"broad":[148],"range":[149],"behavior":[152],"without":[154],"increasing":[155],"time.":[158],"We":[159],"demonstrate":[160],"automatically":[163],"generated":[164],"sets":[166],"improve":[167,189],"provided":[172],"by":[173,185,202],"from":[175],"benchmarking":[177],"suites":[178],"like":[179],"SPEC-CPU2006,":[180],"MiBench,":[181],"Media":[182],"Bench,":[183],"TPC-H":[184],"over":[186,203],"llx":[187],"two":[193],"machine":[194],"based":[196],"power":[197],"performance":[199],"prediction":[200],"2.5x":[204],"3.6x":[206],"respectively.":[207]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}