{"id":"https://openalex.org/W3115643600","doi":"https://doi.org/10.1109/hpec43674.2020.9286210","title":"Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software","display_name":"Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software","publication_year":2020,"publication_date":"2020-09-22","ids":{"openalex":"https://openalex.org/W3115643600","doi":"https://doi.org/10.1109/hpec43674.2020.9286210","mag":"3115643600"},"language":"en","primary_location":{"id":"doi:10.1109/hpec43674.2020.9286210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec43674.2020.9286210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5058949749","display_name":"Jeremy M. Myers","orcid":null},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeremy M. Myers","raw_affiliation_strings":["College of William and Mary, Sandia National Laboratories"],"affiliations":[{"raw_affiliation_string":"College of William and Mary, Sandia National Laboratories","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048468459","display_name":"Daniel Dunlavy","orcid":"https://orcid.org/0009-0003-2299-4798"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel M. Dunlavy","raw_affiliation_strings":["Sandia National Laboratories"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019745966","display_name":"Keita Teranishi","orcid":"https://orcid.org/0000-0001-6647-2690"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keita Teranishi","raw_affiliation_strings":["Sandia National Laboratories"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064173341","display_name":"Daisy S. Hollman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.S. Hollman","raw_affiliation_strings":["Sandia National Laboratories"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories","institution_ids":["https://openalex.org/I4210104735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058949749"],"corresponding_institution_ids":["https://openalex.org/I16285277","https://openalex.org/I4210104735"],"apc_list":null,"apc_paid":null,"fwci":0.2802,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.4825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9301000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7681125402450562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6273159980773926},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6085240840911865},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5727145671844482},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5702474117279053},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5123411417007446},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.48135286569595337},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45838043093681335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4394330084323883},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4319494366645813},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3768472969532013},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3653441369533539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32264190912246704},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.09872081875801086}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7681125402450562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273159980773926},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6085240840911865},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5727145671844482},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5702474117279053},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5123411417007446},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.48135286569595337},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45838043093681335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4394330084323883},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4319494366645813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3768472969532013},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3653441369533539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32264190912246704},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.09872081875801086},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec43674.2020.9286210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec43674.2020.9286210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","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":10,"referenced_works":["https://openalex.org/W1518229628","https://openalex.org/W1988720938","https://openalex.org/W1988888548","https://openalex.org/W2000215628","https://openalex.org/W2024165284","https://openalex.org/W2078794610","https://openalex.org/W2119412403","https://openalex.org/W2121739212","https://openalex.org/W2258054274","https://openalex.org/W3105254673"],"related_works":["https://openalex.org/W2357111844","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771"],"abstract_inverted_index":{"Tensor":[0],"decomposition":[1,26,52],"models":[2],"play":[3],"an":[4],"increasingly":[5],"important":[6],"role":[7],"in":[8,76,83,106,125],"modern":[9],"data":[10,143],"science":[11],"applications.":[12],"One":[13],"problem":[14],"of":[15,70,96,163],"particular":[16],"interest":[17],"is":[18,43,116,122],"fitting":[19],"a":[20,44,50,56,60,88],"low-rank":[21,51],"Canonical":[22],"Polyadic":[23],"(CP)":[24],"tensor":[25,30,36,112,142],"model":[27],"when":[28],"the":[29,35,67,103,126],"has":[31],"sparse":[32],"structure":[33],"and":[34,153],"elements":[37],"are":[38,78,108],"nonnegative":[39],"count":[40],"data.":[41,113],"SparTen":[42,77,107],"high-performance":[45],"C++":[46],"library":[47],"which":[48],"computes":[49],"using":[53,93],"different":[54,150],"solvers:":[55],"first-order":[57],"quasi-Newton":[58],"or":[59],"second-order":[61],"damped":[62],"Newton":[63],"method,":[64],"along":[65],"with":[66,136,155],"appropriate":[68,109],"choice":[69],"runtime":[71],"parameters.":[72],"Since":[73],"default":[74],"parameters":[75],"tuned":[79],"to":[80,123,159],"experimental":[81],"results":[82],"prior":[84],"published":[85],"work":[86],"on":[87,139,148],"single":[89],"real-world":[90],"dataset":[91],"conducted":[92,147],"MATLAB":[94],"implementations":[95],"these":[97,133],"methods,":[98],"it":[99,115],"remains":[100],"unclear":[101],"if":[102],"parameter":[104,128],"defaults":[105],"for":[110],"general":[111],"Furthermore,":[114],"unknown":[117],"how":[118],"sensitive":[119],"algorithm":[120,164],"convergence":[121,165],"changes":[124],"input":[127],"values.":[129],"This":[130],"report":[131],"addresses":[132],"unresolved":[134],"issues":[135],"large-scale":[137],"experimentation":[138],"three":[140],"benchmark":[141],"sets.":[144],"Experiments":[145],"were":[146],"several":[149],"CPU":[151],"architectures":[152],"replicated":[154],"many":[156],"initial":[157],"states":[158],"establish":[160],"generalized":[161],"profiles":[162],"behavior.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
