{"id":"https://openalex.org/W4391885548","doi":"https://doi.org/10.1007/s10766-024-00762-3","title":"A Practical Approach for Employing Tensor Train Decomposition in Edge Devices","display_name":"A Practical Approach for Employing Tensor Train Decomposition in Edge Devices","publication_year":2024,"publication_date":"2024-02-16","ids":{"openalex":"https://openalex.org/W4391885548","doi":"https://doi.org/10.1007/s10766-024-00762-3"},"language":"en","primary_location":{"id":"doi:10.1007/s10766-024-00762-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10766-024-00762-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10766-024-00762-3.pdf","source":{"id":"https://openalex.org/S148521650","display_name":"International Journal of Parallel Programming","issn_l":"0885-7458","issn":["0885-7458","1573-7640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Parallel Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10766-024-00762-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056501771","display_name":"Milad Kokhazadeh","orcid":"https://orcid.org/0009-0001-7430-3691"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Milad Kokhazadeh","raw_affiliation_strings":["School of Informatics, Aristotle University of Thessaloniki, Thessalon\u00edki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Aristotle University of Thessaloniki, Thessalon\u00edki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074371053","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u039a\u03b5\u03c1\u03b1\u03bc\u03af\u03b4\u03b1\u03c2","orcid":"https://orcid.org/0000-0003-0460-6061"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgios Keramidas","raw_affiliation_strings":["School of Informatics, Aristotle University of Thessaloniki, Thessalon\u00edki, Greece","Think Silicon, S.A. An Applied Materials Company, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Aristotle University of Thessaloniki, Thessalon\u00edki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Think Silicon, S.A. An Applied Materials Company, Patras, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090157400","display_name":"Vasilios Kelefouras","orcid":"https://orcid.org/0000-0001-9591-913X"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasilios Kelefouras","raw_affiliation_strings":["School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, UK","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036388687","display_name":"Iakovos Stamoulis","orcid":"https://orcid.org/0009-0004-4624-6089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iakovos Stamoulis","raw_affiliation_strings":["Think Silicon, S.A. An Applied Materials Company, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Think Silicon, S.A. An Applied Materials Company, Patras, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056501771","https://openalex.org/A5074371053"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":1.3931,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77014925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"52","issue":"1-2","first_page":"20","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9779000282287598,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9624000191688538,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/theory-of-computation","display_name":"Theory of computation","score":0.8107556104660034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7818830013275146},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6564309597015381},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5781383514404297},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5247136354446411},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5034496188163757},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3872421979904175},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3806600272655487},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2996218800544739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2859448790550232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13671457767486572},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09530586004257202}],"concepts":[{"id":"https://openalex.org/C24858836","wikidata":"https://www.wikidata.org/wiki/Q844718","display_name":"Theory of computation","level":2,"score":0.8107556104660034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818830013275146},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6564309597015381},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5781383514404297},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5247136354446411},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5034496188163757},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3872421979904175},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3806600272655487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2996218800544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2859448790550232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13671457767486572},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09530586004257202},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10766-024-00762-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10766-024-00762-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10766-024-00762-3.pdf","source":{"id":"https://openalex.org/S148521650","display_name":"International Journal of Parallel Programming","issn_l":"0885-7458","issn":["0885-7458","1573-7640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Parallel Programming","raw_type":"journal-article"},{"id":"pmh:oai:pearl.plymouth.ac.uk:10026.1/21924","is_oa":false,"landing_page_url":"https://pearl.plymouth.ac.uk/handle/10026.1/21924","pdf_url":null,"source":{"id":"https://openalex.org/S4306402507","display_name":"PEARL (University of Plymouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I897542642","host_organization_name":"University of Plymouth","host_organization_lineage":["https://openalex.org/I897542642"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10766-024-00762-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10766-024-00762-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10766-024-00762-3.pdf","source":{"id":"https://openalex.org/S148521650","display_name":"International Journal of Parallel Programming","issn_l":"0885-7458","issn":["0885-7458","1573-7640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Parallel Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4456841783","display_name":"High-tech and affordable 5G network roll-out to every corner","funder_award_id":"957317","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G918562225","display_name":null,"funder_award_id":"72714","funder_id":"https://openalex.org/F4320323894","funder_display_name":"Aristotle University of Thessaloniki"}],"funders":[{"id":"https://openalex.org/F4320309679","display_name":"Applied Materials","ror":"https://ror.org/04h1q4c89"},{"id":"https://openalex.org/F4320318628","display_name":"Hellenic Academic Libraries Link","ror":null},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323894","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391885548.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1993482030","https://openalex.org/W2024165284","https://openalex.org/W2058641082","https://openalex.org/W2747590145","https://openalex.org/W2808168148","https://openalex.org/W2885533908","https://openalex.org/W2951322342","https://openalex.org/W2963363373","https://openalex.org/W2982686237","https://openalex.org/W2995498276","https://openalex.org/W3001774049","https://openalex.org/W3006631416","https://openalex.org/W3015471529","https://openalex.org/W3015509582","https://openalex.org/W3020634318","https://openalex.org/W3034368386","https://openalex.org/W3034971598","https://openalex.org/W3035016149","https://openalex.org/W3036286671","https://openalex.org/W3041222599","https://openalex.org/W3043504674","https://openalex.org/W3095508601","https://openalex.org/W3118185732","https://openalex.org/W3130673459","https://openalex.org/W3138154797","https://openalex.org/W3159397468","https://openalex.org/W3177643164","https://openalex.org/W4291214065","https://openalex.org/W4312258136","https://openalex.org/W6600959918","https://openalex.org/W6601144205","https://openalex.org/W6602439081","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W2963838862","https://openalex.org/W3015641590","https://openalex.org/W3216281372","https://openalex.org/W2987657992","https://openalex.org/W2949531434","https://openalex.org/W4286927328"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"Neural":[2],"Networks":[3],"(DNN)":[4],"have":[5],"made":[6],"significant":[7],"advances":[8],"in":[9,30],"various":[10],"fields":[11],"including":[12],"speech":[13],"recognition":[14],"and":[15,24,65,102,120,184],"image":[16],"processing.":[17],"Typically,":[18],"modern":[19],"DNNs":[20],"are":[21],"both":[22,61],"compute":[23],"memory":[25,63,100,140],"intensive,":[26],"therefore":[27,172],"their":[28],"deployment":[29],"low-end":[31],"devices":[32],"is":[33,44,52,77,117,129,153],"a":[34,49,78,83,111,118,126,137,175,198],"challenging":[35],"task.":[36],"A":[37],"well-known":[38],"technique":[39],"to":[40,187],"address":[41],"this":[42,124],"problem":[43,135],"Low-Rank":[45],"Factorization":[46],"(LRF),":[47],"where":[48,87],"weight":[50],"tensor":[51,70],"approximated":[53],"by":[54,156],"one":[55],"or":[56],"more":[57],"lower-rank":[58],"tensors,":[59],"reducing":[60],"the":[62,66,73,95,99,103,107,133,150,165,188],"size":[64],"number":[67,96],"of":[68,75,97,106,178,206],"executed":[69],"operations.":[71],"However,":[72],"employment":[74],"LRF":[76,134],"multi-parametric":[79],"optimization":[80],"process":[81],"involving":[82],"huge":[84],"design":[85,89,166],"space":[86,152,167],"different":[88,92],"points":[90],"represent":[91],"solutions":[93,179],"trading-off":[94],"FLOPs,":[98],"size,":[101],"prediction":[104,142],"accuracy":[105],"DNN":[108],"models.":[109],"As":[110],"result,":[112],"extracting":[113],"an":[114],"efficient":[115],"solution":[116],"complex":[119],"time-consuming":[121],"process.":[122],"In":[123],"work,":[125],"new":[127],"methodology":[128,193],"presented":[130],"that":[131,164],"formulates":[132],"as":[136,197],"(FLOPs":[138],"vs.":[139,141],"accuracy)":[143],"Design":[144],"Space":[145],"Exploration":[146],"(DSE)":[147],"problem.":[148],"Then,":[149],"DSE":[151],"drastically":[154],"pruned":[155],"removing":[157],"inefficient":[158],"solutions.":[159],"Our":[160,192],"experimental":[161],"results":[162],"prove":[163],"can":[168],"be":[169],"efficiently":[170],"pruned,":[171],"extract":[173],"only":[174],"limited":[176],"set":[177],"with":[180],"improved":[181],"accuracy,":[182],"memory,":[183],"FLOPs":[185],"compared":[186],"original":[189],"(non-factorized)":[190],"model.":[191],"has":[194],"been":[195],"developed":[196],"stand-alone,":[199],"parameterized":[200],"module":[201],"integrated":[202],"into":[203],"T3F":[204],"library":[205],"TensorFlow":[207],"2.X.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}