{"id":"https://openalex.org/W3024077315","doi":"https://doi.org/10.1109/tc.2020.2993552","title":"Distributed Training of Support Vector Machine on a Multiple-FPGA System","display_name":"Distributed Training of Support Vector Machine on a Multiple-FPGA System","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3024077315","doi":"https://doi.org/10.1109/tc.2020.2993552","mag":"3024077315"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2020.2993552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2020.2993552","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"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 Computers","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/A5065225892","display_name":"Jyotikrishna Dass","orcid":"https://orcid.org/0000-0002-7552-8753"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jyotikrishna Dass","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014778049","display_name":"Yashwardhan Narawane","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashwardhan Narawane","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103702897","display_name":"Rabi Mahapatra","orcid":"https://orcid.org/0000-0003-1702-8045"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rabi Mahapatra","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111827824","display_name":"Vivek Sarin","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek Sarin","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7603,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87963425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9980999827384949,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9980999827384949,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.86719810962677},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6929795145988464},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6460121870040894},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6262739896774292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5240999460220337},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4603734612464905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4523707926273346},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2952966094017029},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.20087379217147827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.86719810962677},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6929795145988464},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6460121870040894},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6262739896774292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5240999460220337},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4603734612464905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4523707926273346},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2952966094017029},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.20087379217147827}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2020.2993552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2020.2993552","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"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 Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1546411676","https://openalex.org/W1643305865","https://openalex.org/W1909122952","https://openalex.org/W1915230874","https://openalex.org/W1921605540","https://openalex.org/W2017039469","https://openalex.org/W2047284304","https://openalex.org/W2092377008","https://openalex.org/W2102870347","https://openalex.org/W2104226279","https://openalex.org/W2109844857","https://openalex.org/W2134992020","https://openalex.org/W2136632098","https://openalex.org/W2139212933","https://openalex.org/W2161238936","https://openalex.org/W2164641162","https://openalex.org/W2340896621","https://openalex.org/W2412589610","https://openalex.org/W2466877391","https://openalex.org/W2786131403","https://openalex.org/W2900214122","https://openalex.org/W2962911862","https://openalex.org/W3163855469","https://openalex.org/W6632670727","https://openalex.org/W6640126423","https://openalex.org/W6676101543","https://openalex.org/W6683984541"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W3042736233","https://openalex.org/W2082487009","https://openalex.org/W2373535795","https://openalex.org/W2090763504","https://openalex.org/W2406926880","https://openalex.org/W4237139544"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine":[2],"(SVM)":[3],"is":[4,22,36,96],"a":[5,16,39,45,69,116,123,157,169],"supervised":[6],"machine":[7,90],"learning":[8,91],"model":[9,34],"for":[10,92,175],"classification":[11],"tasks.":[12],"Training":[13],"SVM":[14,148,159,198],"on":[15,38,49,80,133,150,195],"large":[17],"number":[18],"of":[19,88,119,172,191],"data":[20,67],"samples":[21],"challenging":[23],"due":[24],"to":[25,63,78,98,129,141],"the":[26,66,85,147,181,189,192],"high":[27],"computational":[28],"cost":[29],"and":[30,72,108,114,145,187],"memory":[31],"requirement.":[32],"Hence,":[33],"training":[35,47,76,102,149,160,183],"supported":[37],"high-performance":[40],"server":[41],"which":[42],"typically":[43],"runs":[44],"sequential":[46,75],"algorithm":[48],"centralized":[50,70],"data.":[51,152],"However,":[52],"as":[53,122],"we":[54,112],"move":[55],"towards":[56],"massive":[57],"workloads,":[58],"it":[59,95],"will":[60],"be":[61],"impossible":[62],"store":[64],"all":[65],"in":[68,180],"manner":[71],"expect":[73],"such":[74],"algorithms":[77],"scale":[79,146],"traditional":[81],"processors.":[82],"Moreover,":[83],"with":[84,104,137,168],"growing":[86],"demands":[87],"real-time":[89],"edge":[93],"analytics,":[94],"imperative":[97],"devise":[99],"an":[100],"efficient":[101],"framework":[103,126],"relatively":[105],"cheaper":[106],"computations":[107,179],"limited":[109],"memory.":[110],"Therefore,":[111],"propose":[113],"implement":[115],"first-of-its-kind":[117],"system":[118,194],"multiple":[120],"FPGAs":[121],"distributed":[124],"computing":[125],"comprising":[127],"up":[128],"eight":[130],"FPGA":[131,154],"units":[132],"Amazon":[134],"F1":[135],"instances":[136],"negligible":[138],"communication":[139],"overhead":[140],"fully":[142],"parallelize,":[143],"accelerate,":[144],"decentralized":[151],"Each":[153],"unit":[155],"has":[156],"pipelined":[158],"IP":[161],"logic":[162],"core":[163],"operating":[164],"at":[165],"125":[166],"MHz":[167],"power":[170],"dissipation":[171],"39":[173],"Watts":[174],"accelerating":[176],"its":[177],"allocated":[178],"overall":[182],"process.":[184],"We":[185],"evaluate":[186],"compare":[188],"performance":[190],"proposed":[193],"five":[196],"real":[197],"benchmarks.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
