{"id":"https://openalex.org/W2608190038","doi":"https://doi.org/10.1109/tsmc.2017.2690673","title":"GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data","display_name":"GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data","publication_year":2017,"publication_date":"2017-04-24","ids":{"openalex":"https://openalex.org/W2608190038","doi":"https://doi.org/10.1109/tsmc.2017.2690673","mag":"2608190038"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2017.2690673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2690673","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-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/A5100622590","display_name":"Cen Chen","orcid":"https://orcid.org/0000-0003-1389-0148"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cen Chen","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China","National Supercomputing Center, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1389-0148","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Supercomputing Center, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China","Department of Computer Science, State University of New York, New Paltz, NY, USA","National Supercomputing Center, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2635-7716","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, NY, USA","institution_ids":["https://openalex.org/I157455823"]},{"raw_affiliation_string":"National Supercomputing Center, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087964617","display_name":"Aijia Ouyang","orcid":"https://orcid.org/0000-0003-1436-0835"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aijia Ouyang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China","Department of Information Engineering, Zunyi Normal College, Zunyi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Information Engineering, Zunyi Normal College, Zunyi, China","institution_ids":["https://openalex.org/I4210091787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008574161","display_name":"Zhuo Tang","orcid":"https://orcid.org/0000-0001-9081-8153"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Tang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China","National Supercomputing Center, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9081-8153","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Supercomputing Center, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Keqin Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China","Department of Computer Science, State University of New York, New Paltz, NY, USA","National Supercomputing Center, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2635-7716","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, NY, USA","institution_ids":["https://openalex.org/I157455823"]},{"raw_affiliation_string":"National Supercomputing Center, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.5641,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.98730819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"47","issue":"10","first_page":"2740","last_page":"2753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9879000186920166,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9850000143051147,"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":0.8845911026000977},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7391139268875122},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7181857824325562},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6779520511627197},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.627578616142273},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4849274456501007},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4524688422679901},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4167584180831909},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41186538338661194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3577296733856201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3364049196243286},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09452906250953674},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08716508746147156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8845911026000977},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7391139268875122},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7181857824325562},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6779520511627197},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.627578616142273},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4849274456501007},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4524688422679901},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4167584180831909},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41186538338661194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3577296733856201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3364049196243286},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09452906250953674},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08716508746147156},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2017.2690673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2690673","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1328409166","display_name":null,"funder_award_id":"61625202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2575425234","display_name":null,"funder_award_id":"6161101215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2707076737","display_name":null,"funder_award_id":"61432005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5832479786","display_name":"\u57fa\u4e8e\u5f02\u6784\u7cfb\u7edf\u7684\u6df7\u5408\u667a\u80fd\u53ef\u6269\u5c55\u5e76\u884c\u7b97\u6cd5\u7814\u7a76\u4e0e\u63a2\u7d22","funder_award_id":"61662090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G662528876","display_name":null,"funder_award_id":"61472124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6925281636","display_name":"\u5f02\u6784\u5e76\u884c\u73af\u5883\u4e0b\u7684MapReduce\u8d44\u6e90\u8c03\u5ea6\u6a21\u578b\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61370095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1533840382","https://openalex.org/W1947869163","https://openalex.org/W1983301615","https://openalex.org/W1984486001","https://openalex.org/W2025890876","https://openalex.org/W2026131661","https://openalex.org/W2042184006","https://openalex.org/W2045489657","https://openalex.org/W2047431064","https://openalex.org/W2052842899","https://openalex.org/W2055743332","https://openalex.org/W2056999868","https://openalex.org/W2059506587","https://openalex.org/W2061065224","https://openalex.org/W2072128103","https://openalex.org/W2082238959","https://openalex.org/W2100556411","https://openalex.org/W2111072639","https://openalex.org/W2112651225","https://openalex.org/W2121971770","https://openalex.org/W2122040390","https://openalex.org/W2131975293","https://openalex.org/W2134603844","https://openalex.org/W2141695047","https://openalex.org/W2143956139","https://openalex.org/W2158054309","https://openalex.org/W2162390675","https://openalex.org/W2163922914","https://openalex.org/W2168618665","https://openalex.org/W2173213060","https://openalex.org/W2275187372","https://openalex.org/W2277129084","https://openalex.org/W2301541953","https://openalex.org/W2523064693","https://openalex.org/W2783772867","https://openalex.org/W4231109964","https://openalex.org/W6679815717","https://openalex.org/W6679935922","https://openalex.org/W6683722107"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W1972782958","https://openalex.org/W4233402219","https://openalex.org/W1963779048","https://openalex.org/W2065370636"],"abstract_inverted_index":{"The":[0,31,187],"extreme":[1],"learning":[2,162],"machine":[3,16,127,161],"(ELM)":[4],"has":[5],"become":[6],"one":[7,92],"of":[8,15,19,33,52,69,93,157,167,175,209,217],"the":[9,50,94,110,165,172,214,223],"most":[10],"important":[11],"and":[12,27,99,159,211,220],"popular":[13],"algorithms":[14],"learning,":[17],"because":[18],"its":[20],"extremely":[21],"fast":[22],"training":[23,57],"speed,":[24],"good":[25,207],"generalization,":[26],"universal":[28],"approximation/classification":[29],"capability.":[30],"proposal":[32],"hierarchical":[34],"ELM":[35,38,158],"(H-ELM)":[36],"extends":[37],"from":[39],"single":[40],"hidden":[41],"layer":[42],"feedforward":[43],"networks":[44],"to":[45,66,108,129,139,152,184],"multilayer":[46],"perceptron,":[47],"greatly":[48],"strengthening":[49],"applicability":[51],"ELM.":[53],"Generally":[54],"speaking,":[55],"during":[56],"H-ELM,":[58],"large-scale":[59,204],"datasets":[60],"(DSTs)":[61],"are":[62,106],"needed.":[63],"Therefore,":[64],"how":[65],"make":[67],"use":[68],"H-ELM":[70,85,197],"framework":[71,135,148],"in":[72,222],"processing":[73,101],"big":[74,143],"data":[75,144],"is":[76,91,145,171],"worth":[77],"further":[78],"exploration.":[79],"This":[80,147],"paper":[81],"proposes":[82],"a":[83],"parallel":[84,196],"algorithm":[86],"based":[87],"on":[88],"Flink,":[89],"which":[90,177],"in-memory":[95,179],"cluster":[96,180],"computing":[97,181,215],"platforms,":[98],"graphics":[100],"units":[102],"(GPUs).":[103],"Several":[104],"optimizations":[105],"adopted":[107],"improve":[109],"performance,":[111],"such":[112],"as":[113,199],"cache-based":[114],"scheme,":[115],"reasonable":[116],"partitioning":[117],"strategy,":[118],"memory":[119],"mapping":[120,123],"scheme":[121],"for":[122,136,142],"specific":[124],"Java":[125],"virtual":[126],"objects":[128],"buffers.":[130],"Most":[131],"importantly,":[132],"our":[133,168,193],"proposed":[134,194],"utilizing":[137],"GPUs":[138,183,221],"accelerate":[140,153],"Flink":[141],"general.":[146],"can":[149,201],"be":[150],"utilized":[151],"many":[154],"other":[155,160],"variants":[156],"algorithms.":[163],"To":[164],"best":[166],"knowledge,":[169],"it":[170],"first":[173],"kind":[174],"library,":[176],"combines":[178],"with":[182,206],"parallelize":[185],"H-ELM.":[186],"experimental":[188],"results":[189],"have":[190],"demonstrated":[191],"that":[192],"GPU-accelerated":[195],"named":[198],"GPH-ELM":[200],"efficiently":[202],"process":[203],"DSTs":[205],"performance":[208],"speedup":[210],"scalability,":[212],"leveraging":[213],"power":[216],"both":[218],"CPUs":[219],"cluster.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}