{"id":"https://openalex.org/W3133675807","doi":"https://doi.org/10.1177/10943420221085000","title":"Task-parallel in situ temporal compression of large-scale computational fluid dynamics data","display_name":"Task-parallel in situ temporal compression of large-scale computational fluid dynamics data","publication_year":2022,"publication_date":"2022-04-21","ids":{"openalex":"https://openalex.org/W3133675807","doi":"https://doi.org/10.1177/10943420221085000","mag":"3133675807"},"language":"en","primary_location":{"id":"doi:10.1177/10943420221085000","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10943420221085000","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"0890-2720","issn":["0890-2720","1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-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/A5076766502","display_name":"Heather Pacella","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Heather Pacella","raw_affiliation_strings":["Department of Mechanical Engineering, Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011433037","display_name":"Alec M. Dunton","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alec Dunton","raw_affiliation_strings":["Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005638433","display_name":"Alireza Doostan","orcid":"https://orcid.org/0000-0002-3020-3891"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alireza Doostan","raw_affiliation_strings":["Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047377841","display_name":"Gianluca Iaccarino","orcid":"https://orcid.org/0000-0003-3659-7745"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gianluca Iaccarino","raw_affiliation_strings":["Department of Mechanical Engineering, Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076766502"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.703,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62877698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"36","issue":"3","first_page":"388","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9943000078201294,"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":0.9943000078201294,"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":0.9873999953269958,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9835000038146973,"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/computer-science","display_name":"Computer science","score":0.6957223415374756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5455198287963867},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.5319654941558838},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.47929802536964417},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4731517732143402},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4671223759651184},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.4602050185203552},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4578063189983368},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.43397632241249084},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4334268271923065},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4152772128582001},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1547987461090088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957223415374756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5455198287963867},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.5319654941558838},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.47929802536964417},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4731517732143402},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4671223759651184},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.4602050185203552},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4578063189983368},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.43397632241249084},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4334268271923065},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4152772128582001},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1547987461090088},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/10943420221085000","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10943420221085000","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"0890-2720","issn":["0890-2720","1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W59009386","https://openalex.org/W118291038","https://openalex.org/W135777913","https://openalex.org/W1563527684","https://openalex.org/W1573873110","https://openalex.org/W1658679052","https://openalex.org/W1823244711","https://openalex.org/W1886215955","https://openalex.org/W1963826206","https://openalex.org/W1968691112","https://openalex.org/W1983977904","https://openalex.org/W1984689820","https://openalex.org/W1987127706","https://openalex.org/W1989692770","https://openalex.org/W1991042426","https://openalex.org/W2003217181","https://openalex.org/W2018282388","https://openalex.org/W2036551003","https://openalex.org/W2038922352","https://openalex.org/W2052440657","https://openalex.org/W2055913665","https://openalex.org/W2057261601","https://openalex.org/W2063615912","https://openalex.org/W2095014736","https://openalex.org/W2102999784","https://openalex.org/W2117756735","https://openalex.org/W2119233169","https://openalex.org/W2131973628","https://openalex.org/W2141696759","https://openalex.org/W2142265837","https://openalex.org/W2143172733","https://openalex.org/W2154249783","https://openalex.org/W2157988812","https://openalex.org/W2168694323","https://openalex.org/W2210490052","https://openalex.org/W2258054274","https://openalex.org/W2271695307","https://openalex.org/W2317349037","https://openalex.org/W2334293290","https://openalex.org/W2486202470","https://openalex.org/W2587510589","https://openalex.org/W2600842819","https://openalex.org/W2609553524","https://openalex.org/W2617704515","https://openalex.org/W2625759119","https://openalex.org/W2768460243","https://openalex.org/W2785527532","https://openalex.org/W2794996660","https://openalex.org/W2797702392","https://openalex.org/W2798909945","https://openalex.org/W2803118710","https://openalex.org/W2884606811","https://openalex.org/W2912174957","https://openalex.org/W2946856141","https://openalex.org/W2962717353","https://openalex.org/W2962784284","https://openalex.org/W2963674973","https://openalex.org/W2964361301","https://openalex.org/W3003701822","https://openalex.org/W3005363104","https://openalex.org/W3103841771","https://openalex.org/W4205919306","https://openalex.org/W4244600229","https://openalex.org/W4248722156","https://openalex.org/W4388392666","https://openalex.org/W6940868079"],"related_works":["https://openalex.org/W2547124190","https://openalex.org/W2385628723","https://openalex.org/W2552401318","https://openalex.org/W3180760233","https://openalex.org/W108076602","https://openalex.org/W4384342390","https://openalex.org/W3035703949","https://openalex.org/W1033938421","https://openalex.org/W4247601675","https://openalex.org/W3195278163"],"abstract_inverted_index":{"Present":[0],"day":[1],"computational":[2],"fluid":[3],"dynamics":[4],"(CFD)":[5],"simulations":[6],"generate":[7],"considerable":[8],"amounts":[9],"of":[10,16,22,51,72,87,93,97,100,103,125,138,149,158,161,170,194,212,232,247],"data,":[11],"sometimes":[12],"on":[13,156,244],"the":[14,56,80,101,104,109,117,126,133,136,146,159,173,192,195,230,233,236,245,251,266,279],"order":[15,246],"TB/s.":[17],"Often,":[18],"a":[19,70,85,98,112,165,178,201,225],"significant":[20],"fraction":[21],"this":[23,130,283],"data":[24,39,46,76,82,106,119],"is":[25,111,132,186],"discarded":[26],"because":[27],"current":[28],"storage":[29],"systems":[30],"are":[31,198],"unable":[32],"to":[33,45,54,302,305],"keep":[34],"pace.":[35],"To":[36],"address":[37],"this,":[38],"compression":[40,74,196,255,286],"algorithms":[41,140],"can":[42,66,153],"be":[43,67],"applied":[44],"arrays":[47],"containing":[48],"flow":[49],"quantities":[50],"interest":[52,162],"(QoIs)":[53],"reduce":[55],"overall":[57],"required":[58],"storage.":[59],"The":[60],"matrix":[61,83,114,120],"column":[62],"interpolative":[63],"decomposition":[64],"(ID)":[65],"implemented":[68],"as":[69,122,164,207,209],"type":[71],"lossy":[73],"for":[75,145,183,200,263,278],"matrices":[77,95],"that":[78,135,299],"factors":[79,256,287],"original":[81,105,118],"into":[84],"product":[86],"two":[88],"smaller":[89],"factor":[90],"matrices.":[91],"One":[92],"these":[94],"consists":[96],"subset":[99],"columns":[102,121],"matrix,":[107],"while":[108],"other":[110],"coefficient":[113],"which":[115],"approximates":[116],"linear":[123],"combinations":[124],"selected":[127],"columns.":[128],"Motivating":[129],"work":[131],"observation":[134],"structure":[137],"ID":[139,180],"makes":[141],"them":[142],"well":[143,208],"suited":[144],"asynchronous":[147],"nature":[148],"task-based":[150,174],"parallelism;":[151],"they":[152],"operate":[154],"independently":[155],"subdomains":[157],"system":[160],"and,":[163],"result,":[166],"provide":[167],"varied":[168],"levels":[169],"compression.":[171],"Using":[172],"Legion":[175],"programming":[176],"model,":[177],"single-pass":[179],"algorithm":[181,197],"(SPID)":[182],"CFD":[184],"applications":[185],"implemented.":[187],"Performance":[188],"studies,":[189],"scalability,":[190],"and":[191,215,259,290,294],"accuracy":[193],"presented":[199],"benchmark":[202],"analytical":[203,234],"Taylor-Green":[204,222],"vortex":[205],"problem,":[206],"large-scale":[210],"implementations":[211],"both":[213],"low":[214],"high":[216],"Reynolds":[217],"number":[218],"(":[219],"Re)":[220],"compressible":[221],"vortices":[223],"using":[224],"high-order":[226],"Navier-Stokes":[227],"solver.":[228],"In":[229],"case":[231],"solution,":[235],"resulting":[237],"compressed":[238],"solution":[239],"was":[240],"rank-one,":[241],"with":[242,285],"error":[243,274],"machine":[248],"precision.":[249],"For":[250],"low-":[252],"Re":[253,281],"vortex,":[254,282],"between":[257,288],"1000":[258],"10,000":[260],"were":[261,276],"achieved":[262],"errors":[264],"in":[265,308],"range":[267],"10":[268],"\u22122":[269],"\u201310":[270],"\u22123":[271],".":[272],"Similar":[273],"values":[275],"seen":[277],"high-":[280],"time":[284],"100":[289],"1000.":[291],"Moreover,":[292],"strong":[293],"weak":[295],"scaling":[296],"results":[297],"demonstrate":[298],"introducing":[300],"SPID":[301],"solvers":[303],"leads":[304],"negligible":[306],"increases":[307],"runtime.":[309]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}