{"id":"https://openalex.org/W2733492293","doi":"https://doi.org/10.1109/jstars.2017.2713126","title":"Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and Many-Core Architectures","display_name":"Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and Many-Core Architectures","publication_year":2017,"publication_date":"2017-06-27","ids":{"openalex":"https://openalex.org/W2733492293","doi":"https://doi.org/10.1109/jstars.2017.2713126","mag":"2733492293"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2017.2713126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2017.2713126","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5100613917","display_name":"Weijia Li","orcid":"https://orcid.org/0000-0003-1838-9176"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijia Li","raw_affiliation_strings":["Joint Center for Global Change Studies, Beijing, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031545295","display_name":"Haohuan Fu","orcid":"https://orcid.org/0000-0002-6982-2235"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haohuan Fu","raw_affiliation_strings":["Joint Center for Global Change Studies, Beijing, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658705","display_name":"Yang You","orcid":"https://orcid.org/0000-0003-2816-4384"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang You","raw_affiliation_strings":["Computer Science Division, University of California, Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100513240","display_name":"Le Yu","orcid":"https://orcid.org/0009-0004-2673-9281"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Yu","raw_affiliation_strings":["Joint Center for Global Change Studies, Beijing, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069911612","display_name":"Jiarui Fang","orcid":"https://orcid.org/0000-0002-6724-2763"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Fang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100613917"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.4125,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84985677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"10","first_page":"4387","last_page":"4398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9851999878883362,"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/computer-science","display_name":"Computer science","score":0.8759186267852783},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8011099100112915},{"id":"https://openalex.org/keywords/xeon-phi","display_name":"Xeon Phi","score":0.7313629388809204},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.6074427962303162},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5542365312576294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5187035202980042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4790114760398865},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46437588334083557},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.45081621408462524},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.42857763171195984},{"id":"https://openalex.org/keywords/xeon","display_name":"Xeon","score":0.41347092390060425},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3880435824394226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3245098292827606},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3019406795501709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16040903329849243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8759186267852783},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8011099100112915},{"id":"https://openalex.org/C96972482","wikidata":"https://www.wikidata.org/wiki/Q1049168","display_name":"Xeon Phi","level":2,"score":0.7313629388809204},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.6074427962303162},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5542365312576294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187035202980042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4790114760398865},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46437588334083557},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.45081621408462524},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.42857763171195984},{"id":"https://openalex.org/C145108525","wikidata":"https://www.wikidata.org/wiki/Q656154","display_name":"Xeon","level":2,"score":0.41347092390060425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3880435824394226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3245098292827606},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3019406795501709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16040903329849243}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2017.2713126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2017.2713126","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1149234395","display_name":null,"funder_award_id":"61303003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1167619215","display_name":null,"funder_award_id":"41374113","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1551812369","https://openalex.org/W1560612360","https://openalex.org/W1601538959","https://openalex.org/W1981939910","https://openalex.org/W1988518729","https://openalex.org/W1988888548","https://openalex.org/W1996777760","https://openalex.org/W2001510610","https://openalex.org/W2002849025","https://openalex.org/W2015627422","https://openalex.org/W2017121649","https://openalex.org/W2020816856","https://openalex.org/W2021415354","https://openalex.org/W2030025097","https://openalex.org/W2032401773","https://openalex.org/W2048649979","https://openalex.org/W2068829602","https://openalex.org/W2075620729","https://openalex.org/W2076123250","https://openalex.org/W2082140503","https://openalex.org/W2082732714","https://openalex.org/W2087624898","https://openalex.org/W2090424610","https://openalex.org/W2095687521","https://openalex.org/W2101678239","https://openalex.org/W2104269704","https://openalex.org/W2106777458","https://openalex.org/W2110122118","https://openalex.org/W2124706543","https://openalex.org/W2131697388","https://openalex.org/W2149684865","https://openalex.org/W2151040995","https://openalex.org/W2151911322","https://openalex.org/W2153635508","https://openalex.org/W2159350554","https://openalex.org/W2168534096","https://openalex.org/W2241001100","https://openalex.org/W2487329601","https://openalex.org/W2542055599","https://openalex.org/W2565950292","https://openalex.org/W4238288137","https://openalex.org/W4239510810","https://openalex.org/W6630527977","https://openalex.org/W6647391669","https://openalex.org/W6654605260"],"related_works":["https://openalex.org/W1982324446","https://openalex.org/W2004658153","https://openalex.org/W94928048","https://openalex.org/W2025003325","https://openalex.org/W2264564572","https://openalex.org/W3189853235","https://openalex.org/W2884969009","https://openalex.org/W2187658675","https://openalex.org/W2577870365","https://openalex.org/W2170268965"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine":[2],"(SVM)":[3],"is":[4],"a":[5,71,176],"classification":[6,23,29,48,62,199],"method":[7,24],"that":[8],"has":[9],"been":[10],"widely":[11,141],"used":[12,142],"in":[13,31,39,63,201],"the":[14,56,88,93,116,132,140,169,191,205],"domain":[15],"of":[16,119,134],"remote":[17,41,64,127,197],"sensing":[18,42,65,128,198],"for":[19,28,58,79,195],"decades.":[20],"Although":[21],"SVM-based":[22],"achieves":[25,147],"good":[26],"performance":[27,133,177],"accuracy":[30],"many":[32],"studies,":[33],"it":[34],"can":[35],"become":[36],"very":[37],"time-consuming":[38],"some":[40,185],"applications":[43],"such":[44,86],"as":[45,87],"hyperspectral":[46],"image":[47],"or":[49],"large-scale":[50],"land":[51],"cover":[52],"mapping.":[53],"To":[54],"improve":[55],"efficiency":[57],"SVM":[59],"training":[60],"and":[61,69,83,92,108,152,159,163,183],"applications,":[66],"we":[67],"designed":[68],"implemented":[70],"highly":[72],"efficient":[73],"multiclass":[74],"support":[75],"vector":[76],"machine":[77],"(MMSVM)":[78],"x":[80,149],"86-based":[81],"multicore":[82],"many-core":[84],"architectures":[85],"Ivy":[89,170],"Bridge":[90,171],"CPUs":[91],"Intel":[94],"Xeon":[95],"Phi":[96],"coprocessor":[97],"(MIC)":[98],"based":[99],"on":[100,157,168,180,187],"our":[101,120,135,145],"previous":[102],"MIC-SVM":[103],"library.":[104],"Various":[105],"analysis":[106,179],"methods":[107],"optimization":[109],"strategies":[110],"are":[111],"employed":[112],"to":[113,130,189,203],"fully":[114],"utilize":[115],"multilevel":[117],"parallelism":[118],"studied":[121],"architectures.":[122],"We":[123,173],"select":[124,190],"several":[125],"real-world":[126],"datasets":[129],"evaluate":[131],"proposed":[136],"MMSVM.":[137],"Compared":[138],"with":[139],"serial":[143],"LIBSVM,":[144],"MMSVM":[146],"6.3-31.1":[148],"(in":[150,161,165],"training)":[151,162],"4.9-32.2":[153],"x(in":[154],"classification)":[155,166],"speedups":[156,167],"MIC,":[158],"6.9-14.9x":[160],"5.5-22.1x":[164],"CPUs.":[172],"also":[174],"conduct":[175],"comparison":[178],"different":[181],"platforms":[182],"provide":[184],"ideas":[186],"how":[188],"most":[192],"suitable":[193],"architecture":[194],"specific":[196],"problems":[200],"order":[202],"achieve":[204],"best":[206],"performance.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
