{"id":"https://openalex.org/W2998487545","doi":"https://doi.org/10.1109/iccad45719.2019.8942103","title":"Tucker Tensor Decomposition on FPGA","display_name":"Tucker Tensor Decomposition on FPGA","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2998487545","doi":"https://doi.org/10.1109/iccad45719.2019.8942103","mag":"2998487545"},"language":"en","primary_location":{"id":"doi:10.1109/iccad45719.2019.8942103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad45719.2019.8942103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072440587","display_name":"Kaiqi Zhang","orcid":"https://orcid.org/0000-0002-7923-1594"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaiqi Zhang","raw_affiliation_strings":["University of California, Santa Barbara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725666","display_name":"Xiyuan Zhang","orcid":"https://orcid.org/0009-0002-7526-2198"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiyuan Zhang","raw_affiliation_strings":["University of California, Santa Barbara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100459107","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0002-2292-0030"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["University of California, Santa Barbara, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":1.5554,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8390411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9478999972343445,"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.9448000192642212,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7177135944366455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162536382675171},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7143113017082214},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6531420350074768},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6172686815261841},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.5928627252578735},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5676255822181702},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.5310158133506775},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.5053920745849609},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4639226198196411},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.45743754506111145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36158686876296997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3328116536140442},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3286578059196472},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.2459448277950287},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.235398530960083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16397958993911743}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7177135944366455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162536382675171},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7143113017082214},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6531420350074768},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6172686815261841},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.5928627252578735},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5676255822181702},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.5310158133506775},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.5053920745849609},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4639226198196411},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45743754506111145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36158686876296997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3328116536140442},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3286578059196472},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.2459448277950287},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.235398530960083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16397958993911743},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad45719.2019.8942103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad45719.2019.8942103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W10800834","https://openalex.org/W1524093576","https://openalex.org/W1554369651","https://openalex.org/W1798945469","https://openalex.org/W1925692259","https://openalex.org/W1963826206","https://openalex.org/W1991042426","https://openalex.org/W1993482030","https://openalex.org/W1997564656","https://openalex.org/W2003670573","https://openalex.org/W2004642969","https://openalex.org/W2018282388","https://openalex.org/W2024165284","https://openalex.org/W2035399158","https://openalex.org/W2037271374","https://openalex.org/W2042245048","https://openalex.org/W2061624656","https://openalex.org/W2081023708","https://openalex.org/W2093637157","https://openalex.org/W2115452265","https://openalex.org/W2117391305","https://openalex.org/W2119511382","https://openalex.org/W2121003578","https://openalex.org/W2130526756","https://openalex.org/W2131691213","https://openalex.org/W2144579659","https://openalex.org/W2156739854","https://openalex.org/W2258054274","https://openalex.org/W2406293284","https://openalex.org/W2469230926","https://openalex.org/W2507398220","https://openalex.org/W2523567745","https://openalex.org/W2544822491","https://openalex.org/W2560517525","https://openalex.org/W2606967921","https://openalex.org/W2724545582","https://openalex.org/W2786384724","https://openalex.org/W2946624195","https://openalex.org/W2962988160","https://openalex.org/W2963048316","https://openalex.org/W2963704562","https://openalex.org/W3157442009","https://openalex.org/W6638060716","https://openalex.org/W6713184358","https://openalex.org/W6741042017"],"related_works":["https://openalex.org/W3011131668","https://openalex.org/W1519611381","https://openalex.org/W2095778784","https://openalex.org/W4327930469","https://openalex.org/W4290860880","https://openalex.org/W4241741271","https://openalex.org/W2042026112","https://openalex.org/W2997310398","https://openalex.org/W2954398958","https://openalex.org/W2998487545"],"abstract_inverted_index":{"Tensor":[0],"computation":[1,28,60],"has":[2,22],"emerged":[3],"as":[4],"a":[5,57,97,125],"powerful":[6],"mathematical":[7],"tool":[8],"for":[9,56,87,100],"solving":[10],"high-dimensional":[11],"and/or":[12],"extreme-scale":[13],"problems":[14],"in":[15,32,104],"science":[16],"and":[17,29,35,78,81,124,136,152,154],"engineering.":[18],"The":[19],"last":[20],"decade":[21],"witnessed":[23],"tremendous":[24],"advancement":[25],"of":[26,68,117],"tensor":[27,59,79],"its":[30,39,138],"applications":[31],"machine":[33],"learning":[34],"big":[36],"data.":[37],"However,":[38],"hardware":[40,54],"optimization":[41],"on":[42,84,149,162],"resource-constrained":[43],"devices":[44],"remains":[45],"an":[46,53],"(almost)":[47],"unexplored":[48],"field.":[49],"This":[50],"paper":[51],"presents":[52],"accelerator":[55],"classical":[58],"framework,":[61],"Tucker":[62],"decomposition.":[63],"We":[64,140],"study":[65],"three":[66],"modules":[67],"this":[69],"architecture:":[70],"tensor-times-matrix":[71],"(TTM),":[72],"matrix":[73],"singular":[74],"value":[75],"decomposition":[76],"(SVD),":[77],"permutation,":[80],"implemented":[82],"them":[83],"Xilinx":[85],"FPGA":[86],"prototyping.":[88],"In":[89],"order":[90],"to":[91,113,132],"further":[92],"reduce":[93],"the":[94,101,115,134,163],"computing":[95],"time,":[96],"warm-start":[98],"algorithm":[99],"Jacobi":[102],"iterations":[103],"SVD":[105],"is":[106,111],"proposed.":[107],"A":[108],"fixed-point":[109],"simulator":[110],"used":[112,131],"evaluate":[114,137],"performance":[116],"our":[118,142,155],"design.":[119],"Some":[120],"synthetic":[121],"data":[122,128,166],"sets":[123],"real":[126],"MRI":[127,165],"set":[129],"are":[130],"validate":[133],"design":[135],"performance.":[139],"compare":[141],"work":[143,156],"with":[144],"state-of-the-art":[145],"software":[146],"toolboxes":[147],"running":[148],"both":[150],"CPU":[151],"GPU,":[153],"shows":[157],"2.16":[158],"\u2013":[159],"30.2\u00d7":[160],"speedup":[161],"cardiac":[164],"set.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}