{"id":"https://openalex.org/W3114172738","doi":"https://doi.org/10.1109/hpec43674.2020.9286158","title":"Machine Learning Algorithm Performance on the Lucata Computer","display_name":"Machine Learning Algorithm Performance on the Lucata Computer","publication_year":2020,"publication_date":"2020-09-22","ids":{"openalex":"https://openalex.org/W3114172738","doi":"https://doi.org/10.1109/hpec43674.2020.9286158","mag":"3114172738"},"language":"en","primary_location":{"id":"doi:10.1109/hpec43674.2020.9286158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec43674.2020.9286158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5025638687","display_name":"Paul Springer","orcid":"https://orcid.org/0000-0002-8760-8793"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Paul L. Springer","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020618979","display_name":"Thomas Schibler","orcid":null},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Schibler","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051888885","display_name":"G\u00e9raud Krawezik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geraud Krawezik","raw_affiliation_strings":["Lucata Corporation, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"Lucata Corporation, New York City, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021891433","display_name":"Jack Lightholder","orcid":"https://orcid.org/0000-0001-9811-2227"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Lightholder","raw_affiliation_strings":["Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029212199","display_name":"Peter M. Kogge","orcid":"https://orcid.org/0000-0002-3329-547X"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter M. Kogge","raw_affiliation_strings":["Univ. of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"Univ. of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025638687"],"corresponding_institution_ids":["https://openalex.org/I1334627681"],"apc_list":null,"apc_paid":null,"fwci":0.8916,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80507137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11269","display_name":"Algorithms and Data Compression","score":0.9944999814033508,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9930999875068665,"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":0.8507651686668396},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.7625396251678467},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5434678792953491},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5136053562164307},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46575242280960083},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.443604439496994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3431171178817749},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2357727587223053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8507651686668396},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.7625396251678467},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5434678792953491},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5136053562164307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46575242280960083},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.443604439496994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3431171178817749},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2357727587223053},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec43674.2020.9286158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec43674.2020.9286158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1930624869","https://openalex.org/W1998523455","https://openalex.org/W2006435106","https://openalex.org/W2104861744","https://openalex.org/W2321243835","https://openalex.org/W2330820318","https://openalex.org/W2534546069","https://openalex.org/W2564979285","https://openalex.org/W3085162807","https://openalex.org/W4241046574"],"related_works":["https://openalex.org/W1594563977","https://openalex.org/W2068042411","https://openalex.org/W1586422308","https://openalex.org/W2170268965","https://openalex.org/W2354746308","https://openalex.org/W4232891356","https://openalex.org/W1569109055","https://openalex.org/W2187267005","https://openalex.org/W1532146045","https://openalex.org/W1567437828"],"abstract_inverted_index":{"A":[0],"new":[1],"parallel":[2],"computing":[3],"paradigm":[4],"has":[5],"recently":[6],"become":[7],"available,":[8],"one":[9],"that":[10,35,55,71,75],"combines":[11],"a":[12,48,72,87],"PIM":[13],"(processor":[14],"in":[15,60,96],"memory)":[16],"architecture":[17,46],"with":[18],"the":[19,31,63,92,97],"use":[20],"of":[21,65,94],"many":[22],"lightweight":[23],"threads,":[24],"where":[25],"each":[26],"thread":[27],"migrates":[28],"automatically":[29],"to":[30,62],"memory":[32],"used":[33],"by":[34,81,86],"thread.":[36],"Our":[37],"effort":[38],"focuses":[39],"on":[40,44],"producing":[41],"performance":[42],"gains":[43],"this":[45],"for":[47],"key":[49],"machine":[50],"learning":[51],"algorithm,":[52],"Random":[53],"Forest,":[54],"are":[56],"at":[57],"least":[58],"linear":[59],"proportion":[61],"number":[64,93],"cores.":[66],"Beyond":[67],"that,":[68],"we":[69],"show":[70],"data":[73],"distribution":[74],"groups":[76],"test":[77],"samples":[78],"and":[79],"trees":[80],"feature":[82],"improves":[83],"run":[84],"times":[85],"factor":[88],"more":[89],"than":[90],"double":[91],"cores":[95],"machine.":[98]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}