{"id":"https://openalex.org/W6926421418","doi":"https://doi.org/10.2312/egpgv/egpgv06/091-098","title":"Time Step Prioritising in Parallel Feature Extraction on Unsteady Simulation Data","display_name":"Time Step Prioritising in Parallel Feature Extraction on Unsteady Simulation Data","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W6926421418","doi":"https://doi.org/10.2312/egpgv/egpgv06/091-098"},"language":"en","primary_location":{"id":"doi:10.2312/egpgv/egpgv06/091-098","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egpgv/egpgv06/091-098","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egpgv/egpgv06/091-098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wolter, M.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wolter, M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hentschel, B.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hentschel, B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Schirski, M.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schirski, M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Gerndt, A.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerndt, A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Kuhlen, T.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuhlen, T.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13557","display_name":"Environmental and sustainability education","score":0.05640000104904175,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13557","display_name":"Environmental and sustainability education","score":0.05640000104904175,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12636","display_name":"Regional Development and Innovation","score":0.03579999879002571,"subfield":{"id":"https://openalex.org/subfields/3303","display_name":"Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14284","display_name":"Social Sciences and Humanities","score":0.028999999165534973,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6696000099182129},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6147000193595886},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.5738999843597412},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5386000275611877},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.47760000824928284},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45739999413490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888000011444092},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6147000193595886},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.5738999843597412},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5386000275611877},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36579999327659607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33239999413490295},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C3019068222","wikidata":"https://www.wikidata.org/wiki/Q216320","display_name":"Unsteady flow","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/egpgv/egpgv06/091-098","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egpgv/egpgv06/091-098","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/egpgv/egpgv06/091-098","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egpgv/egpgv06/091-098","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Explorative":[0],"analysis":[1,104],"of":[2,13,71,116,151],"unsteady":[3,92,152],"computational":[4],"fluid":[5],"dynamics":[6],"(CFD)":[7],"simulations":[8],"requires":[9],"a":[10,39,62,83],"fast":[11],"extraction":[12,20,90,150,158],"flow":[14],"features.":[15],"For":[16],"time-varying":[17],"data,":[18],"the":[19,31,44,69,75,99,102,121,132],"algorithm":[21],"has":[22],"to":[23,86,97,131],"be":[24,112],"executed":[25],"for":[26,52,74,156],"each":[27],"time":[28,47,118],"step":[29,119],"in":[30,61,95,123],"period":[32],"under":[33],"observation.":[34],"Even":[35],"when":[36],"parallelised":[37],"on":[38,91,142],"remote":[40],"high":[41],"performance":[42],"computer,":[43],"user\u0092s":[45,76,133],"waiting":[46],"still":[48],"exceeds":[49],"interactivity":[50],"criteria":[51],"large":[53],"data":[54,93],"sets.":[55],"Moreover,":[56],"computations":[57],"are":[58,126],"generally":[59],"performed":[60],"fixed":[63],"order,":[64],"not":[65,111],"taking":[66],"into":[67],"account":[68],"importance":[70],"partial":[72],"results":[73],"investigation.":[77],"In":[78],"this":[79,147],"paper":[80],"we":[81],"propose":[82],"general":[84],"method":[85],"guide":[87],"parallel":[88,149],"feature":[89],"sets":[94],"order":[96,122],"assist":[98],"user":[100,144],"during":[101],"explorative":[103],"even":[105],"though":[106],"interactive":[107],"response":[108],"times":[109],"might":[110],"available.":[113],"By":[114],"re-ordering":[115],"single":[117],"computations,":[120],"which":[124],"features":[125,153],"provided":[127],"is":[128,154],"arranged":[129],"according":[130],"exploration":[134],"process.":[135],"We":[136],"describe":[137],"three":[138],"different":[139],"concepts":[140],"based":[141],"typical":[143],"behaviours.":[145],"Using":[146],"approach,":[148],"enhanced":[155],"arbitrary":[157],"methods.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
