{"id":"https://openalex.org/W4318148181","doi":"https://doi.org/10.1109/bigdata55660.2022.10020383","title":"Scalable Tensors for Big Data Analytics","display_name":"Scalable Tensors for Big Data Analytics","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318148181","doi":"https://doi.org/10.1109/bigdata55660.2022.10020383"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020383","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020383","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5061836265","display_name":"Leonidas Fegaras","orcid":"https://orcid.org/0000-0003-2843-8103"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leonidas Fegaras","raw_affiliation_strings":["University of Texas at Arlington,CSE,Arlington,TX,76019"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington,CSE,Arlington,TX,76019","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075674776","display_name":"Tanvir Ahmed Khan","orcid":"https://orcid.org/0000-0003-3741-1455"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanvir Ahmed Khan","raw_affiliation_strings":["University of Texas at Arlington,CSE,Arlington,TX,76019"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington,CSE,Arlington,TX,76019","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085093879","display_name":"Md Hasanuzzaman Noor","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Hasanuzzaman Noor","raw_affiliation_strings":["University of Texas at Arlington,CSE,Arlington,TX,76019"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington,CSE,Arlington,TX,76019","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004207385","display_name":"Tanzima Sultana","orcid":"https://orcid.org/0000-0002-6680-6379"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanzima Sultana","raw_affiliation_strings":["University of Texas at Arlington,CSE,Arlington,TX,76019"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington,CSE,Arlington,TX,76019","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061836265"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":0.4302,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52811245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9898999929428101,"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":0.7088931798934937},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6567543745040894},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.611946702003479},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5928587913513184},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4228527843952179},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.42176949977874756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.259651243686676},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23498955368995667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088931798934937},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6567543745040894},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.611946702003479},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5928587913513184},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4228527843952179},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.42176949977874756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.259651243686676},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23498955368995667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020383","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020383","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1963512661","https://openalex.org/W1997759202","https://openalex.org/W2002257715","https://openalex.org/W2038412523","https://openalex.org/W2068410942","https://openalex.org/W2121243315","https://openalex.org/W2159825340","https://openalex.org/W2574839832","https://openalex.org/W2607294481","https://openalex.org/W2773027441","https://openalex.org/W3022425873","https://openalex.org/W3165312848","https://openalex.org/W3176459841","https://openalex.org/W4206777862","https://openalex.org/W6713134421","https://openalex.org/W6792952439"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2148016376","https://openalex.org/W2551093110","https://openalex.org/W4372291825","https://openalex.org/W2337265393","https://openalex.org/W4390577565","https://openalex.org/W3121545709"],"abstract_inverted_index":{"Many":[0],"vectorization":[1],"languages":[2],"and":[3,20,28,39,56,97,138,159],"linear":[4,131],"algebra":[5,132],"libraries":[6],"are":[7,35,59],"often":[8],"implemented":[9],"as":[10,18],"light-weight":[11],"wrappers":[12],"around":[13],"high-performance":[14,111],"array":[15,25,51,57,88,108],"libraries,":[16,33,133],"such":[17],"BLAS,":[19],"rely":[21],"on":[22,117,126],"the":[23,150],"limited":[24],"storage":[26,68,74],"structures":[27],"routines":[29],"provided":[30],"by":[31,66,148],"these":[32],"which":[34,54,82],"hard":[36],"to":[37,110,156],"extend":[38],"customize.":[40],"In":[41,100],"this":[42],"paper,":[43],"we":[44,102,144],"describe":[45],"a":[46,72,79,84],"customizable":[47],"framework":[48],"for":[49,76,105],"large-scale":[50],"programs":[52,109],"in":[53],"arrays":[55],"operations":[58],"abstract":[60,107],"but":[61],"their":[62],"implementation":[63,136],"is":[64,83,125],"guided":[65],"user-defined":[67],"mappings.":[69],"We":[70],"introduce":[71],"new":[73],"structure":[75],"arrays,":[77],"called":[78],"distributed":[80,85,112],"tensor,":[81],"collection":[86],"of":[87,95,122,152],"blocks":[89],"that":[90,114],"may":[91],"have":[92],"any":[93],"number":[94],"sparse":[96],"dense":[98],"dimensions.":[99],"addition,":[101],"present":[103],"rules":[104],"translating":[106],"code":[113],"can":[115],"run":[116],"Apache":[118],"Spark.":[119],"The":[120],"performance":[121,151],"our":[123,146,153],"system":[124,154],"par":[127],"with":[128],"highly":[129],"optimized":[130],"thus":[134],"providing":[135],"independence":[137],"extensibility":[139],"without":[140],"sacrificing":[141],"performance.":[142],"Finally,":[143],"justify":[145],"claims":[147],"evaluating":[149],"relative":[155],"Spark":[157],"MLlib":[158],"TensorFlow.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}