{"id":"https://openalex.org/W3136333196","doi":"https://doi.org/10.1109/bigdata50022.2020.9378150","title":"Pseudo-Reconfigurable Heterogeneous Solution for Accelerating Spectral Clustering","display_name":"Pseudo-Reconfigurable Heterogeneous Solution for Accelerating Spectral Clustering","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136333196","doi":"https://doi.org/10.1109/bigdata50022.2020.9378150","mag":"3136333196"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big 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/A5088358935","display_name":"Mihaela Mali\u0163a","orcid":null},"institutions":[{"id":"https://openalex.org/I202524275","display_name":"Smith College","ror":"https://ror.org/0497crr92","country_code":"US","type":"education","lineage":["https://openalex.org/I202524275"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mihaela Malita","raw_affiliation_strings":["Computer Science Dept., Smith College, Northampton, MA, US"],"affiliations":[{"raw_affiliation_string":"Computer Science Dept., Smith College, Northampton, MA, US","institution_ids":["https://openalex.org/I202524275"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010672926","display_name":"George-Vl\u0103du\u021b Popescu","orcid":"https://orcid.org/0000-0002-7962-1875"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"George Vladut Popescu","raw_affiliation_strings":["Electronic Devices, Circuits and Arch. Dept., Politehnica University of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Electronic Devices, Circuits and Arch. Dept., Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037519558","display_name":"\u0218tefan Gheorghe","orcid":"https://orcid.org/0000-0001-9301-6762"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gheorghe M. Stefan","raw_affiliation_strings":["Electronic Devices, Circuits and Arch. Dept., Politehnica University of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Electronic Devices, Circuits and Arch. Dept., Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088358935"],"corresponding_institution_ids":["https://openalex.org/I202524275"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5841477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5138","last_page":"5145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9747999906539917,"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/T10320","display_name":"Neural Networks and Applications","score":0.9747999906539917,"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/T11476","display_name":"Graph theory and applications","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.784816324710846},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7778217792510986},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7019134759902954},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.6741516590118408},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6686960458755493},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5487266182899475},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5055074691772461},{"id":"https://openalex.org/keywords/accumulator","display_name":"Accumulator (cryptography)","score":0.48435887694358826},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4840089976787567},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.44973766803741455},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.42954903841018677},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4013516306877136},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33248311281204224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2534109354019165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1263483762741089},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08124613761901855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784816324710846},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7778217792510986},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7019134759902954},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.6741516590118408},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6686960458755493},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5487266182899475},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5055074691772461},{"id":"https://openalex.org/C2078106","wikidata":"https://www.wikidata.org/wiki/Q14906620","display_name":"Accumulator (cryptography)","level":2,"score":0.48435887694358826},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4840089976787567},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.44973766803741455},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.42954903841018677},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4013516306877136},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33248311281204224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2534109354019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1263483762741089},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08124613761901855},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical 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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W67721698","https://openalex.org/W1512522810","https://openalex.org/W1545099940","https://openalex.org/W1587744656","https://openalex.org/W1770429257","https://openalex.org/W2004287193","https://openalex.org/W2011730213","https://openalex.org/W2023245243","https://openalex.org/W2078979416","https://openalex.org/W2116810533","https://openalex.org/W2119456804","https://openalex.org/W2483136543","https://openalex.org/W2551087352","https://openalex.org/W2963492134","https://openalex.org/W3099346841","https://openalex.org/W3141650078","https://openalex.org/W4297792209","https://openalex.org/W6602730463","https://openalex.org/W6637982553","https://openalex.org/W6739546666"],"related_works":["https://openalex.org/W2518118925","https://openalex.org/W3035662153","https://openalex.org/W3159273459","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W3103034165","https://openalex.org/W4310584535","https://openalex.org/W3154092384","https://openalex.org/W4295935044","https://openalex.org/W4307927141"],"abstract_inverted_index":{"Spectral":[0],"clustering":[1,93,102],"is":[2,43,59,97,109,131,143,161,176,193,203],"a":[3,34,44,70,84,134,144,151,156,162,168,177,194],"Machine":[4],"Learning":[5],"technique":[6],"intensively":[7],"used":[8,204],"in":[9,68,111,123,128,138],"Big":[10],"Data":[11],"applications.":[12],"It":[13],"makes":[14],"extensive":[15],"use":[16],"of":[17,25,33,78,86,113,147],"linear":[18,145],"algebra.":[19],"This":[20,58],"article":[21],"introduces":[22],"the":[23,30,39,55,63,79,87,91,100,124,209],"concept":[24],"MapReduce":[26],"Accelerator":[27],"(MRA)":[28],"as":[29,83,186],"reconfigurable":[31],"part":[32],"heterogeneous":[35],"computing":[36,114,129],"system.":[37],"Although":[38],"accelerator":[40,80,142],"we":[41],"propose":[42],"general":[45],"purpose":[46],"one,":[47],"it":[48,202],"has":[49],"some":[50],"specific":[51,76],"features":[52],"related":[53],"to":[54,62,205],"targeted":[56],"application.":[57],"possible":[60],"due":[61],"pseudo-reconfigurable":[64],"environment":[65],"which":[66],"deploys":[67],"FPGA":[69],"parameterizable":[71],"programmable":[72],"accelerator.":[73],"The":[74,95,106,126,141,173,190],"main":[75],"characteristics":[77],"are":[81,104],"proposed":[82,107],"result":[85],"analysis":[88],"performed":[89],"on":[90],"spectral":[92,101],"algorithms.":[94],"architecture":[96],"described":[98],"and":[99,116,207],"algorithms":[103],"evaluated.":[105],"solution":[108],"compared,":[110],"terms":[112],"performance":[115,130],"energy":[117,139],"consumption,":[118],"with":[119,167,198],"other":[120],"solutions":[121],"published":[122],"literature.":[125],"increase":[127],"accompanied":[132],"by":[133,150,212],"3-5":[135],"times":[136],"reduction":[137,157,174,183],"consumed.":[140],"array":[146],"cells":[148],"controlled":[149],"sequencer":[152],"loop":[153],"closed":[154],"through":[155],"network.":[158],"Each":[159],"cell":[160],"simple,":[163],"accumulator-based":[164],"execution":[165],"unit":[166],"big":[169],"two-port":[170],"register":[171],"file.":[172],"network":[175],"log-depth":[178],"pipelined":[179],"circuit":[180],"performing":[181],"few":[182],"functions":[184],"such":[185],"add,":[187],"min,":[188],"max.":[189],"experimental":[191],"system":[192],"PYNQ-Z2":[195],"board":[196],"equipped":[197],"Zinq":[199],"7020":[200],"SoC;":[201],"implement":[206],"evaluate":[208],"acceleration":[210],"provided":[211],"an":[213],"128-cell":[214],"MRA.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}