{"id":"https://openalex.org/W2998644326","doi":"https://doi.org/10.1109/ldav48142.2019.8944267","title":"Interactive Rendering of Large-Scale Volumes on Multi-Core CPUs","display_name":"Interactive Rendering of Large-Scale Volumes on Multi-Core CPUs","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2998644326","doi":"https://doi.org/10.1109/ldav48142.2019.8944267","mag":"2998644326"},"language":"en","primary_location":{"id":"doi:10.1109/ldav48142.2019.8944267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav48142.2019.8944267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)","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/A5013520886","display_name":"Feng Wang","orcid":"https://orcid.org/0000-0002-1528-9711"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["SCI Institute, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SCI Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039910512","display_name":"Ingo Wald","orcid":"https://orcid.org/0000-0003-0046-713X"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Ingo Wald","raw_affiliation_strings":["Intel Corporation, Now at NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Now at NVIDIA","institution_ids":["https://openalex.org/I1304085615","https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048780291","display_name":"Chris R. Johnson","orcid":"https://orcid.org/0000-0001-5673-5338"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris R. Johnson","raw_affiliation_strings":["SCI Institute, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SCI Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"27","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9419999718666077,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8754023313522339},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.731545627117157},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6589177250862122},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6437300443649292},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.6274394989013672},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5835169553756714},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5190304517745972},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.4474930763244629},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4297773540019989},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.4284136891365051},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.42160484194755554},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18568432331085205},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.152103453874588},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1511903703212738},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12258771061897278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8754023313522339},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.731545627117157},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6589177250862122},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6437300443649292},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.6274394989013672},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5835169553756714},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5190304517745972},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.4474930763244629},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4297773540019989},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.4284136891365051},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.42160484194755554},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18568432331085205},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.152103453874588},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1511903703212738},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12258771061897278}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ldav48142.2019.8944267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav48142.2019.8944267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"},{"id":"mag:3037847871","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002271970727904","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W606727990","https://openalex.org/W1145740201","https://openalex.org/W1576347849","https://openalex.org/W1973126828","https://openalex.org/W1975899001","https://openalex.org/W1982365464","https://openalex.org/W2001749563","https://openalex.org/W2011483870","https://openalex.org/W2011885275","https://openalex.org/W2025549820","https://openalex.org/W2025874980","https://openalex.org/W2046007741","https://openalex.org/W2050283963","https://openalex.org/W2052440657","https://openalex.org/W2064391105","https://openalex.org/W2067635581","https://openalex.org/W2082211440","https://openalex.org/W2083312936","https://openalex.org/W2099096003","https://openalex.org/W2103174519","https://openalex.org/W2107819646","https://openalex.org/W2113001609","https://openalex.org/W2113634802","https://openalex.org/W2115019302","https://openalex.org/W2126014082","https://openalex.org/W2126521141","https://openalex.org/W2134092988","https://openalex.org/W2136730689","https://openalex.org/W2144716277","https://openalex.org/W2152365613","https://openalex.org/W2157144208","https://openalex.org/W2157696144","https://openalex.org/W2166103081","https://openalex.org/W2510494910","https://openalex.org/W2545167463","https://openalex.org/W2564800775","https://openalex.org/W2752101027","https://openalex.org/W2823290781","https://openalex.org/W2886098925","https://openalex.org/W2897118863","https://openalex.org/W2960831429","https://openalex.org/W3151224251","https://openalex.org/W6671253906","https://openalex.org/W6679999695","https://openalex.org/W6753709409"],"related_works":["https://openalex.org/W244085534","https://openalex.org/W2108828943","https://openalex.org/W4233522791","https://openalex.org/W2148959431","https://openalex.org/W2544035110","https://openalex.org/W2160965361","https://openalex.org/W2373528269","https://openalex.org/W2006240110","https://openalex.org/W2125975474","https://openalex.org/W1965510144"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,7,87,135],"large-scale":[3],"simulations":[4],"have":[5],"resulted":[6],"volume":[8,50],"data":[9,25,30,76,85,102,147],"of":[10,17,57,93,156],"increasing":[11],"size":[12],"that":[13,52,162],"stress":[14],"the":[15,41,101,108,127,157],"capabilities":[16],"off-the-shelf":[18],"visualization":[19,56,68,170],"tools.":[20],"Users":[21],"suffer":[22],"from":[23,34],"long":[24],"loading":[26,103],"times,":[27],"because":[28],"large":[29,58],"must":[31],"be":[32,166],"read":[33],"disk":[35],"into":[36,168],"memory":[37],"prior":[38,137],"to":[39,65,82,120,165],"rendering":[40],"first":[42],"frame.":[43],"In":[44],"this":[45],"work,":[46,138],"we":[47,99,125,150],"present":[48],"a":[49,84,90,143,152],"renderer":[51,79],"enables":[53],"high-fidelity":[54],"interactive":[55],"volumes":[59,95],"on":[60,154],"multi-core":[61],"CPU":[62],"architectures.":[63],"Compared":[64],"existing":[66],"CPU-based":[67],"frameworks,":[69],"which":[70,131,140],"take":[71],"minutes":[72],"or":[73],"hours":[74],"for":[75],"loading,":[77],"our":[78],"allows":[80],"users":[81],"get":[83],"overview":[86],"seconds.":[88],"Using":[89],"hierarchical":[91],"representation":[92],"raw":[94],"and":[96,106,122],"ray-guided":[97],"streaming,":[98],"reduce":[100],"time":[104],"dramatically":[105],"improve":[107],"user's":[109],"interactivity":[110],"experience.":[111],"We":[112],"also":[113],"examine":[114],"system":[115],"design":[116],"choices":[117],"with":[118],"respect":[119],"performance":[121],"scalability.":[123],"Specifically,":[124],"evaluate":[126],"hierarchy":[128],"generation":[129],"time,":[130],"has":[132],"been":[133],"ignored":[134],"most":[136],"but":[139],"can":[141],"become":[142],"significant":[144],"bottleneck":[145],"as":[146,173],"scales.":[148],"Finally,":[149],"create":[151],"module":[153],"top":[155],"OSPRay":[158],"ray":[159],"tracing":[160],"framework":[161],"is":[163],"ready":[164],"integrated":[167],"general-purpose":[169],"frameworks":[171],"such":[172],"Paraview.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}