{"id":"https://openalex.org/W2949383392","doi":"https://doi.org/10.1145/3307681.3325398","title":"Kleio","display_name":"Kleio","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2949383392","doi":"https://doi.org/10.1145/3307681.3325398","mag":"2949383392"},"language":"en","primary_location":{"id":"doi:10.1145/3307681.3325398","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3307681.3325398","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3307681.3325398","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing","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/10.1145/3307681.3325398","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033123165","display_name":"Thaleia Dimitra Doudali","orcid":"https://orcid.org/0000-0002-3197-839X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thaleia Dimitra Doudali","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038056852","display_name":"Sergey Blagodurov","orcid":"https://orcid.org/0009-0003-7412-5922"},"institutions":[{"id":"https://openalex.org/I4210137977","display_name":"Advanced Micro Devices (United States)","ror":"https://ror.org/04kd6c783","country_code":"US","type":"company","lineage":["https://openalex.org/I4210137977"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergey Blagodurov","raw_affiliation_strings":["Advanced Micro Devices, Inc., Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Advanced Micro Devices, Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210137977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009322871","display_name":"Abhinav Vishnu","orcid":"https://orcid.org/0000-0002-0593-4780"},"institutions":[{"id":"https://openalex.org/I4210137977","display_name":"Advanced Micro Devices (United States)","ror":"https://ror.org/04kd6c783","country_code":"US","type":"company","lineage":["https://openalex.org/I4210137977"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhinav Vishnu","raw_affiliation_strings":["Advanced Micro Devices, Inc., Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Advanced Micro Devices, Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210137977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078748445","display_name":"Sudhanva Gurumurthi","orcid":"https://orcid.org/0000-0002-1740-7304"},"institutions":[{"id":"https://openalex.org/I4210137977","display_name":"Advanced Micro Devices (United States)","ror":"https://ror.org/04kd6c783","country_code":"US","type":"company","lineage":["https://openalex.org/I4210137977"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudhanva Gurumurthi","raw_affiliation_strings":["Advanced Micro Devices, Inc., Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Advanced Micro Devices, Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210137977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085918364","display_name":"Ada Gavrilovska","orcid":"https://orcid.org/0000-0003-4199-2512"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ada Gavrilovska","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033123165"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":6.3991,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97285241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9997000098228455,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8804358243942261},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5383606553077698},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5195537209510803},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4960399568080902},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.49144136905670166},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45873916149139404},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.4474680721759796},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38754773139953613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31292396783828735},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2023647129535675},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.14330118894577026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8804358243942261},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5383606553077698},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5195537209510803},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4960399568080902},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.49144136905670166},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45873916149139404},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.4474680721759796},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38754773139953613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31292396783828735},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2023647129535675},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.14330118894577026},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307681.3325398","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3307681.3325398","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3307681.3325398","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3307681.3325398","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3307681.3325398","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3307681.3325398","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G990291263","display_name":null,"funder_award_id":"SPX-1822972","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/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320307757","display_name":"Advanced Micro Devices","ror":"https://ror.org/04kd6c783"},{"id":"https://openalex.org/F4320307764","display_name":"Microsoft","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949383392.pdf","grobid_xml":"https://content.openalex.org/works/W2949383392.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W35708471","https://openalex.org/W1710455405","https://openalex.org/W2080592089","https://openalex.org/W2092212481","https://openalex.org/W2100787464","https://openalex.org/W2145339207","https://openalex.org/W2293164505","https://openalex.org/W2316410352","https://openalex.org/W2340522713","https://openalex.org/W2415142660","https://openalex.org/W2419664341","https://openalex.org/W2586877049","https://openalex.org/W2611027062","https://openalex.org/W2724362854","https://openalex.org/W2734941459","https://openalex.org/W2761236734","https://openalex.org/W2762076598","https://openalex.org/W2762933651","https://openalex.org/W2773466258","https://openalex.org/W2787395181","https://openalex.org/W2808242862","https://openalex.org/W2885965959","https://openalex.org/W2886885214","https://openalex.org/W2887761271","https://openalex.org/W2892587114","https://openalex.org/W2894512385","https://openalex.org/W2903504144","https://openalex.org/W2952926545","https://openalex.org/W2963380445","https://openalex.org/W2964121744","https://openalex.org/W4234178886"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2077105843","https://openalex.org/W2770465587","https://openalex.org/W2086716781","https://openalex.org/W2022510519"],"abstract_inverted_index":{"The":[0,26],"increasing":[1],"demand":[2],"of":[3,22,109,130,176,189],"big":[4],"data":[5,56,86],"analytics":[6],"for":[7,67,89,141,150,225],"more":[8],"main":[9],"memory":[10,24,73,196],"capacity":[11,38],"in":[12,33,120,229],"datacenters":[13],"and":[14,37,126,135,184,200,205],"exascale":[15],"computing":[16],"environments":[17],"is":[18,76],"driving":[19],"the":[20,41,107,128,131,161,177,181,223],"integration":[21,228],"heterogeneous":[23],"technologies.":[25],"new":[27,104,148],"technologies":[28],"exhibit":[29],"vastly":[30],"greater":[31],"differences":[32],"access":[34,191],"latencies,":[35],"bandwidth":[36],"compared":[39],"to":[40,122,155,221],"traditional":[42],"NUMA":[43],"systems.":[44,231],"Leveraging":[45],"this":[46,142],"heterogeneity":[47],"while":[48,159],"also":[49],"delivering":[50],"application":[51,212],"performance":[52,157,167,178,213],"enhancements":[53],"requires":[54],"intelligent":[55,94,117],"placement.":[57],"We":[58,102],"present":[59],"Kleio,":[60],"a":[61,77,147],"page":[62,79,118],"scheduler":[63,80],"with":[64,92,187,198,215],"machine":[65],"intelligence":[66],"applications":[68],"that":[69,81,111,138,153,170],"execute":[70],"across":[71],"hybrid":[72,78,90,195],"components.":[74],"Kleio":[75,145,171,193],"combines":[82],"existing,":[83],"lightweight,":[84],"history-based":[85,124],"tiering":[87],"methods":[88],"memory,":[91],"novel":[93],"placement":[95],"decisions":[96],"based":[97],"on":[98,173],"deep":[99,132],"neural":[100,202],"networks.":[101],"contribute":[103],"understanding":[105],"toward":[106],"scope":[108],"benefits":[110],"can":[112],"be":[113],"achieved":[114],"by":[115],"using":[116],"scheduling":[119],"comparison":[121],"existing":[123,182],"approaches,":[125],"towards":[127],"choice":[129],"learning":[133],"algorithms":[134],"their":[136],"parameters":[137],"are":[139],"effective":[140,201],"problem":[143],"space.":[144],"incorporates":[146],"method":[149],"prioritizing":[151],"pages":[152],"leads":[154],"highest":[156],"boost,":[158],"limiting":[160],"resulting":[162],"system":[163],"resource":[164,217],"overheads.":[165],"Our":[166],"evaluation":[168],"indicates":[169],"reduces":[172],"average":[174],"80%":[175],"gap":[179],"between":[180],"solutions":[183],"an":[185],"oracle":[186],"knowledge":[188],"future":[190,230],"pattern.":[192],"provides":[194],"systems":[197],"fast":[199],"network":[203],"training":[204],"prediction":[206],"accuracy":[207],"levels,":[208],"which":[209],"bring":[210],"significant":[211],"improvements":[214],"limited":[216],"overheads,":[218],"so":[219],"as":[220],"lay":[222],"grounds":[224],"its":[226],"practical":[227]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2019-06-27T00:00:00"}
