{"id":"https://openalex.org/W2137267957","doi":"https://doi.org/10.1109/access.2013.2281080","title":"GPU-Accelerated Visualization of Scattered Point Data","display_name":"GPU-Accelerated Visualization of Scattered Point Data","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2137267957","doi":"https://doi.org/10.1109/access.2013.2281080","mag":"2137267957"},"language":"en","primary_location":{"id":"doi:10.1109/access.2013.2281080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2013.2281080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6336544/06594834.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6336544/06594834.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033903615","display_name":"Thomas L. Falch","orcid":"https://orcid.org/0000-0001-8498-4825"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Thomas L. Falch","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","Department of Computer and Information Science, Norwegian University of Science and Technology, TRONDHEIM, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, TRONDHEIM, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076312935","display_name":"Jostein B\u00f8 Fl\u00f8ystad","orcid":null},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jostein BO Floystad","raw_affiliation_strings":["Dept. of Phys., Norwegian Univ. of Sci. & Technol., Trondheim, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Phys., Norwegian Univ. of Sci. & Technol., Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062169185","display_name":"Dag W. Breiby","orcid":"https://orcid.org/0000-0001-6432-4344"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Dag W. Breiby","raw_affiliation_strings":["Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway","Dept. of Phys., Norwegian Univ. of Sci. & Technol., Trondheim, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Dept. of Phys., Norwegian Univ. of Sci. & Technol., Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045535996","display_name":"Anne C. Elster","orcid":"https://orcid.org/0000-0002-7087-6193"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Anne C. Elster","raw_affiliation_strings":["Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","Department of Computer and Information Science, Norwegian University of Science and Technology, TRONDHEIM, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Department of Computer and Information Science, Norwegian University of Science and Technology, TRONDHEIM, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.9057,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91817134,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"564","last_page":"576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9901999831199646,"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":0.8092316389083862},{"id":"https://openalex.org/keywords/ray-casting","display_name":"Ray casting","score":0.6473252773284912},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5906837582588196},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.5642187595367432},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5603858828544617},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5260018110275269},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49143683910369873},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4898383319377899},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.464161217212677},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4429205060005188},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4423617124557495},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4333970844745636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35661011934280396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2856951355934143},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.24304401874542236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11247128248214722},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.08407378196716309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092316389083862},{"id":"https://openalex.org/C116108083","wikidata":"https://www.wikidata.org/wiki/Q1940131","display_name":"Ray casting","level":4,"score":0.6473252773284912},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5906837582588196},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.5642187595367432},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5603858828544617},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5260018110275269},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49143683910369873},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4898383319377899},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.464161217212677},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4429205060005188},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4423617124557495},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4333970844745636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35661011934280396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2856951355934143},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.24304401874542236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11247128248214722},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.08407378196716309},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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":3,"locations":[{"id":"doi:10.1109/access.2013.2281080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2013.2281080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6336544/06594834.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2d7df65428e34b08a46c3c06127b130a","is_oa":true,"landing_page_url":"https://doaj.org/article/2d7df65428e34b08a46c3c06127b130a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 1, Pp 564-576 (2013)","raw_type":"article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/2624182","is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2624182","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"564-576","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2013.2281080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2013.2281080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6336544/06594834.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2137267957.pdf","grobid_xml":"https://content.openalex.org/works/W2137267957.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W55203447","https://openalex.org/W574078859","https://openalex.org/W1489539431","https://openalex.org/W1497953515","https://openalex.org/W1515099178","https://openalex.org/W1553650702","https://openalex.org/W1848695431","https://openalex.org/W1966537360","https://openalex.org/W1990267700","https://openalex.org/W1992100915","https://openalex.org/W2008196645","https://openalex.org/W2009512963","https://openalex.org/W2014281764","https://openalex.org/W2017471210","https://openalex.org/W2029828872","https://openalex.org/W2053495521","https://openalex.org/W2055844022","https://openalex.org/W2069860025","https://openalex.org/W2088801864","https://openalex.org/W2091688908","https://openalex.org/W2092276439","https://openalex.org/W2097615965","https://openalex.org/W2097746424","https://openalex.org/W2097930305","https://openalex.org/W2099420376","https://openalex.org/W2111609443","https://openalex.org/W2119386067","https://openalex.org/W2121976441","https://openalex.org/W2122572959","https://openalex.org/W2125141584","https://openalex.org/W2125209972","https://openalex.org/W2126521141","https://openalex.org/W2135849180","https://openalex.org/W2137642650","https://openalex.org/W2138867322","https://openalex.org/W2141827635","https://openalex.org/W2147169375","https://openalex.org/W2148802605","https://openalex.org/W2164044916","https://openalex.org/W2166103081","https://openalex.org/W2495353297","https://openalex.org/W2800378834","https://openalex.org/W3160888682","https://openalex.org/W4231515897","https://openalex.org/W4239979250","https://openalex.org/W4241528614","https://openalex.org/W4242711103","https://openalex.org/W4250981202","https://openalex.org/W4251610421","https://openalex.org/W4300071512","https://openalex.org/W6602189120","https://openalex.org/W6629436194","https://openalex.org/W6667988082","https://openalex.org/W6674465239","https://openalex.org/W6677659674"],"related_works":["https://openalex.org/W2950319056","https://openalex.org/W2373354512","https://openalex.org/W64528777","https://openalex.org/W2157787626","https://openalex.org/W2626767355","https://openalex.org/W1542109480","https://openalex.org/W2005138652","https://openalex.org/W2039086087","https://openalex.org/W2294494167","https://openalex.org/W347853151"],"abstract_inverted_index":{"As":[0],"data":[1,58,132,143],"sets":[2,25,133],"continue":[3],"to":[4,82,107,140,148],"grow":[5],"in":[6,34,159],"size,":[7],"visualization":[8],"has":[9,114],"become":[10],"a":[11,51],"vitally":[12],"important":[13],"tool":[14],"for":[15,53],"extracting":[16],"meaningful":[17],"knowledge.":[18],"Scattered":[19],"point":[20,27,57],"data,":[21],"which":[22],"are":[23,146],"unordered":[24],"of":[26,89,104,138,151,170],"coordinates":[28],"with":[29,173],"associated":[30],"measured":[31],"values,":[32],"arise":[33],"many":[35],"contexts,":[36],"such":[37,55],"as":[38,121,123],"scientific":[39],"experiments,":[40],"sensor":[41],"networks,":[42],"and":[43,68,154],"numerical":[44],"simulations.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"present":[50],"method":[52,61,113],"visualizing":[54],"scattered":[56],"sets.":[59],"Our":[60],"is":[62],"based":[63],"on":[64,74,117],"volume":[65,91],"ray":[66],"casting,":[67],"distinguishes":[69],"itself":[70],"by":[71,97],"operating":[72],"directly":[73],"the":[75,87,90,95],"unstructured":[76],"samples,":[77,101],"rather":[78],"than":[79],"resampling":[80],"them":[81],"form":[83],"voxels.":[84],"We":[85,145],"estimate":[86],"intensity":[88],"at":[92],"points":[93],"along":[94],"rays":[96],"interpolation":[98],"using":[99],"nearby":[100],"taking":[102],"advantage":[103],"an":[105],"octree":[106],"facilitate":[108],"efficient":[109],"range":[110],"search.":[111],"The":[112,162],"been":[115,135],"implemented":[116],"multi-core":[118],"CPUs,":[119],"GPUs":[120],"well":[122],"multi-GPU":[124],"systems.1To":[125],"test":[126],"our":[127,174],"method,":[128],"actual":[129],"X-ray":[130],"diffraction":[131],"have":[134],"used,":[136],"consisting":[137],"up":[139],"240":[141],"million":[142],"points.":[144],"able":[147],"generate":[149],"images":[150],"good":[152],"quality":[153],"achieve":[155],"interactive":[156],"frame":[157],"rates":[158],"favorable":[160],"cases.":[161],"GPU":[163],"implementation":[164],"(Nvidia":[165],"Tesla":[166],"K20)":[167],"achieves":[168],"speedups":[169],"8-14":[171],"compared":[172],"parallelized":[175],"CPU":[176],"version":[177],"(4-core,":[178],"hyperthreaded":[179],"Intel":[180],"i7":[181],"3770K).":[182]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
