{"id":"https://openalex.org/W2016653720","doi":"https://doi.org/10.1145/2588555.2593680","title":"A comparison of platforms for implementing and running very large scale machine learning algorithms","display_name":"A comparison of platforms for implementing and running very large scale machine learning algorithms","publication_year":2014,"publication_date":"2014-06-18","ids":{"openalex":"https://openalex.org/W2016653720","doi":"https://doi.org/10.1145/2588555.2593680","mag":"2016653720"},"language":"en","primary_location":{"id":"doi:10.1145/2588555.2593680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2593680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","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/A5102385932","display_name":"Zhuhua Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhuhua Cai","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058252467","display_name":"Zekai J. Gao","orcid":"https://orcid.org/0000-0002-1886-1912"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zekai J. Gao","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014313463","display_name":"Shangyu Luo","orcid":"https://orcid.org/0000-0002-6650-8531"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shangyu Luo","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085731856","display_name":"Luis L. Perez","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis L. Perez","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090568937","display_name":"Zografoula Vagena","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zografoula Vagena","raw_affiliation_strings":["LogicBlox, Inc., Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"LogicBlox, Inc., Atlanta, GA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109437922","display_name":"Christopher Jermaine","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Jermaine","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102385932"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":14.48943155,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.98707655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1371","last_page":"1382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8347468376159668},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7756004929542542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6028808355331421},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5919089317321777},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5230163931846619},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5199995636940002},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5053327679634094},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4680701494216919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46097269654273987},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2724551558494568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8347468376159668},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7756004929542542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6028808355331421},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5919089317321777},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5230163931846619},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5199995636940002},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5053327679634094},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4680701494216919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46097269654273987},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2724551558494568},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2588555.2593680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2593680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4001072164","display_name":null,"funder_award_id":"915315","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6994128303","display_name":null,"funder_award_id":"DE-SC0001779","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W125200397","https://openalex.org/W603723648","https://openalex.org/W1493893823","https://openalex.org/W1982652137","https://openalex.org/W2013373704","https://openalex.org/W2044849727","https://openalex.org/W2045271686","https://openalex.org/W2082171780","https://openalex.org/W2098935637","https://openalex.org/W2099655235","https://openalex.org/W2102458936","https://openalex.org/W2130416410","https://openalex.org/W2131975293","https://openalex.org/W2157462866","https://openalex.org/W2170616854","https://openalex.org/W2174706414","https://openalex.org/W2184623761","https://openalex.org/W2189465200","https://openalex.org/W2206925937","https://openalex.org/W2240938131","https://openalex.org/W2951113132","https://openalex.org/W4248008732","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"We":[0,41,59],"describe":[1],"an":[2,30],"extensive":[3],"benchmark":[4],"of":[5,47,72,86],"platforms":[6],"available":[7],"to":[8,13],"a":[9,15,22,45],"user":[10],"who":[11],"wants":[12],"run":[14],"machine":[16],"learning":[17,54],"(ML)":[18],"inference":[19],"algorithm":[20],"over":[21],"very":[23],"large":[24],"data":[25],"set,":[26],"but":[27],"cannot":[28],"find":[29],"existing":[31],"implementation":[32,50],"and":[33,68,84],"thus":[34],"must":[35],"\"roll":[36],"her":[37],"own\"":[38],"ML":[39,49],"code.":[40],"have":[42],"carefully":[43,78],"chosen":[44],"set":[46],"five":[48],"tasks":[51,62],"that":[52],"involve":[53],"relatively":[55],"complex,":[56],"hierarchical":[57],"models.":[58],"completed":[60],"those":[61],"on":[63],"four":[64],"different":[65],"computational":[66],"platforms,":[67],"using":[69],"70,000":[70],"hours":[71],"Amazon":[73],"EC2":[74],"compute":[75],"time,":[76],"we":[77],"compared":[79],"running":[80],"times,":[81],"tuning":[82],"requirements,":[83],"ease-of-programming":[85],"each.":[87]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
