乐胖代购免代理版

{"id":"https://openalex.org/W4285609553","doi":"https://doi.org/10.1109/ipdps53621.2022.00095","title":"Parallel Tensor Train Rounding using Gram SVD","display_name":"Parallel Tensor Train Rounding using Gram SVD","publication_year":2022,"publication_date":"2022-05-01","ids":{"openalex":"https://openalex.org/W4285609553","doi":"https://doi.org/10.1109/ipdps53621.2022.00095"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps53621.2022.00095","pdf_url":null,"source":{"id":"https://openalex.org/S4363607067","display_name":"2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5028202081","display_name":"Hussam Al Daas","orcid":"https://orcid.org/0000-0001-9355-4042"},"institutions":[{"id":"https://openalex.org/I1286704778","display_name":"Rutherford Appleton Laboratory","ror":"https://ror.org/03gq8fr08","country_code":"GB","type":"facility","lineage":["https://openalex.org/I1286704778","https://openalex.org/I162524378","https://openalex.org/I4210087105"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hussam Al Daas","raw_affiliation_strings":["Rutherford Appleton Laboratory, Computational Mathematics Group, Didcot, Oxfordshire, UK"],"affiliations":[{"raw_affiliation_string":"Rutherford Appleton Laboratory, Computational Mathematics Group, Didcot, Oxfordshire, UK","institution_ids":["https://openalex.org/I1286704778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064243391","display_name":"Grey Ballard","orcid":"https://orcid.org/0000-0003-1557-8027"},"institutions":[{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grey Ballard","raw_affiliation_strings":["Department of Computer Science, Wake Forest University, Winston-Salem, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wake Forest University, Winston-Salem, NC, USA","institution_ids":["https://openalex.org/I47251452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064605456","display_name":"Lawton Manning","orcid":null},"institutions":[{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawton Manning","raw_affiliation_strings":["Department of Computer Science, Wake Forest University, Winston-Salem, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wake Forest University, Winston-Salem, NC, USA","institution_ids":["https://openalex.org/I47251452"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.413,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.355556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":70},"biblio":{"volume":"21","issue":null,"first_page":"930","last_page":"940"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998,"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":0.9998,"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":0.9877,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9544,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonalization","display_name":"Orthogonalization","score":0.912972},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.8853253},{"id":"https://openalex.org/keywords/round-off-error","display_name":"Round-off error","score":0.5349366},{"id":"https://openalex.org/keywords/gramian-matrix","display_name":"Gramian matrix","score":0.41000146}],"concepts":[{"id":"https://openalex.org/C47559304","wikidata":"https://www.wikidata.org/wiki/Q1702189","display_name":"Orthogonalization","level":2,"score":0.912972},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.8853253},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7686869},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6977197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60397494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.59608626},{"id":"https://openalex.org/C61005703","wikidata":"https://www.wikidata.org/wiki/Q2145211","display_name":"Round-off error","level":2,"score":0.5349366},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44178495},{"id":"https://openalex.org/C77246614","wikidata":"https://www.wikidata.org/wiki/Q1409400","display_name":"Gramian matrix","level":3,"score":0.41000146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28075293},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.14361542},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps53621.2022.00095","pdf_url":null,"source":{"id":"https://openalex.org/S4363607067","display_name":"2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1504748373","https://openalex.org/W1511885491","https://openalex.org/W1825216778","https://openalex.org/W1964200011","https://openalex.org/W1993482030","https://openalex.org/W2006973305","https://openalex.org/W2008972618","https://openalex.org/W2053693274","https://openalex.org/W2061170466","https://openalex.org/W2079487069","https://openalex.org/W2082187902","https://openalex.org/W2088087394","https://openalex.org/W2124664178","https://openalex.org/W2152896489","https://openalex.org/W2157237396","https://openalex.org/W2268206128","https://openalex.org/W2323937450","https://openalex.org/W2417353093","https://openalex.org/W2783318359","https://openalex.org/W2892981087","https://openalex.org/W2963852881","https://openalex.org/W2969432895","https://openalex.org/W2971526651","https://openalex.org/W2998798002","https://openalex.org/W3015723040","https://openalex.org/W3034140865","https://openalex.org/W3040876570","https://openalex.org/W3104098743","https://openalex.org/W3115053081","https://openalex.org/W3127237338","https://openalex.org/W4210523970","https://openalex.org/W4254160523","https://openalex.org/W4320800818","https://openalex.org/W434969687"],"related_works":["https://openalex.org/W4321139404","https://openalex.org/W4294538557","https://openalex.org/W3099018226","https://openalex.org/W3038073026","https://openalex.org/W2485409430","https://openalex.org/W2383134623","https://openalex.org/W2156629920","https://openalex.org/W2063857110","https://openalex.org/W2021455005","https://openalex.org/W1541233540"],"abstract_inverted_index":{"Tensor":[0],"Train":[1],"(TT)":[2],"is":[3,45,59,131],"a":[4,10,35,64,82,117],"low-rank":[5],"tensor":[6,22],"representation":[7],"consisting":[8],"of":[9,12,63,116,120,127],"series":[11],"three-way":[13],"cores":[14],"whose":[15],"dimensions":[16],"specify":[17],"the":[18,31,42,49,89,95,114,128,138],"TT":[19,32,43,50],"ranks.":[20,33],"Formal":[21],"train":[23],"arithmetic":[24],"often":[25],"causes":[26],"an":[27,54,77],"artificial":[28],"increase":[29],"in":[30,143],"Thus,":[34],"key":[36],"operation":[37],"for":[38,85],"applications":[39],"that":[40,93,124],"use":[41],"format":[44],"rounding,":[46],"which":[47],"truncates":[48],"ranks":[51],"subject":[52],"to":[53,75],"approximation":[55],"error":[56],"guarantee.":[57],"Truncation":[58],"performed":[60],"via":[61],"SVD":[62,91],"highly":[65],"structured":[66],"matrix,":[67],"and":[68,104,135],"current":[69],"rounding":[70,129],"methods":[71],"require":[72],"careful":[73],"orthogonalization":[74,97],"compute":[76],"accurate":[78],"SVD.":[79],"We":[80,122],"propose":[81],"new":[83],"algorithm":[84,92,100,130],"TT-Rounding":[86],"based":[87],"on":[88],"Gram":[90],"avoids":[94],"expensive":[96],"phase.":[98],"Our":[99],"performs":[101],"less":[102],"computation":[103],"can":[105],"be":[106],"parallelized":[107],"more":[108],"easily":[109],"than":[110],"existing":[111,139],"approaches,":[112],"at":[113],"expense":[115],"slight":[118],"loss":[119],"accuracy.":[121],"demonstrate":[123],"our":[125,144],"implementation":[126,142],"efficient,":[132],"scales":[133],"well,":[134],"consistently":[136],"outperforms":[137],"state-of-the-art":[140],"parallel":[141],"experiments.":[145]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285609553","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-14T00:27:23.646911","created_date":"2022-07-16"}