{"id":"https://openalex.org/W2528132916","doi":"https://doi.org/10.3390/informatics3040018","title":"AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets","display_name":"AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets","publication_year":2016,"publication_date":"2016-10-07","ids":{"openalex":"https://openalex.org/W2528132916","doi":"https://doi.org/10.3390/informatics3040018","mag":"2528132916"},"language":"en","primary_location":{"id":"doi:10.3390/informatics3040018","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics3040018","pdf_url":"https://www.mdpi.com/2227-9709/3/4/18/pdf?version=1488885760","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9709/3/4/18/pdf?version=1488885760","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089405476","display_name":"Peng Mi","orcid":"https://orcid.org/0000-0003-0123-4311"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Mi","raw_affiliation_strings":["The Computer Science Department, Virginia Tech, Blacksburg, VA 24060, USA"],"affiliations":[{"raw_affiliation_string":"The Computer Science Department, Virginia Tech, Blacksburg, VA 24060, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030293804","display_name":"Maoyuan Sun","orcid":"https://orcid.org/0000-0002-0990-2620"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maoyuan Sun","raw_affiliation_strings":["Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA 02747, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA 02747, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087160759","display_name":"Moeti Masiane","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moeti Masiane","raw_affiliation_strings":["The Computer Science Department, Virginia Tech, Blacksburg, VA 24060, USA"],"affiliations":[{"raw_affiliation_string":"The Computer Science Department, Virginia Tech, Blacksburg, VA 24060, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103207935","display_name":"Yong Cao","orcid":"https://orcid.org/0000-0002-3889-0382"},"institutions":[{"id":"https://openalex.org/I1295339012","display_name":"Boeing (United States)","ror":"https://ror.org/04sm5zn07","country_code":"US","type":"company","lineage":["https://openalex.org/I1295339012"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Cao","raw_affiliation_strings":["The Boeing Company, 3455 Airframe Dr, North Charleston, SC 29418, USA"],"affiliations":[{"raw_affiliation_string":"The Boeing Company, 3455 Airframe Dr, North Charleston, SC 29418, USA","institution_ids":["https://openalex.org/I1295339012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037675411","display_name":"Chris North","orcid":"https://orcid.org/0000-0002-8786-7103"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris North","raw_affiliation_strings":["The Computer Science Department, Virginia Tech, Blacksburg, VA 24060, USA"],"affiliations":[{"raw_affiliation_string":"The Computer Science Department, Virginia Tech, Blacksburg, VA 24060, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089405476"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.3379,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67197022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"4","first_page":"18","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8786354064941406},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.614957332611084},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.5952959060668945},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5843515396118164},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5424163937568665},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.4955235719680786},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4528118968009949},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.44842439889907837},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.43135398626327515},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.43026047945022583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3080546259880066},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.23774871230125427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1898168921470642},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1709158718585968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8786354064941406},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.614957332611084},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.5952959060668945},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5843515396118164},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5424163937568665},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.4955235719680786},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4528118968009949},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.44842439889907837},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.43135398626327515},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.43026047945022583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3080546259880066},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.23774871230125427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1898168921470642},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1709158718585968}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/informatics3040018","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics3040018","pdf_url":"https://www.mdpi.com/2227-9709/3/4/18/pdf?version=1488885760","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:42ec9c96e36b486bb2447793ad7f3973","is_oa":true,"landing_page_url":"https://doaj.org/article/42ec9c96e36b486bb2447793ad7f3973","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics, Vol 3, Iss 4, p 40018 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2227-9709/3/4/18/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/informatics3040018","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics; Volume 3; Issue 4; Pages: 18","raw_type":"Text"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/79304","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/79304","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/informatics3040018","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics3040018","pdf_url":"https://www.mdpi.com/2227-9709/3/4/18/pdf?version=1488885760","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6560157988","display_name":null,"funder_award_id":"447416","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7116502686","display_name":"BIGDATA: F: DKA: Usable Multiple Scale Big Data Analytics through Interactive Visualization","funder_award_id":"1447416","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2528132916.pdf","grobid_xml":"https://content.openalex.org/works/W2528132916.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1505837402","https://openalex.org/W1816080730","https://openalex.org/W1909422130","https://openalex.org/W1977343739","https://openalex.org/W1999702719","https://openalex.org/W2005112390","https://openalex.org/W2023758372","https://openalex.org/W2064784803","https://openalex.org/W2081315591","https://openalex.org/W2090239678","https://openalex.org/W2098642632","https://openalex.org/W2103201239","https://openalex.org/W2119738171","https://openalex.org/W2120422643","https://openalex.org/W2125215841","https://openalex.org/W2145441016","https://openalex.org/W2161061943","https://openalex.org/W2162707967","https://openalex.org/W2287207825","https://openalex.org/W2545443478","https://openalex.org/W4214767961","https://openalex.org/W6671592966","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W4246764483","https://openalex.org/W2116732611","https://openalex.org/W2126824079","https://openalex.org/W2080934634","https://openalex.org/W2564956852","https://openalex.org/W2597787696","https://openalex.org/W4392522134"],"abstract_inverted_index":{"This":[0,34],"paper":[1],"presents":[2],"the":[3,38,66,78,112,117],"Animated":[4],"VISualization":[5],"Tool":[6],"(AVIST),":[7],"an":[8],"exploration-oriented":[9],"data":[10,27,32,71,100,131,137],"visualization":[11,175],"tool":[12],"that":[13],"enables":[14],"rapidly":[15],"exploring":[16,161],"and":[17,42,73,86,135,156],"filtering":[18],"large":[19],"time":[20],"series":[21],"multidimensional":[22],"datasets.":[23,163],"AVIST":[24,52,109,149],"highlights":[25],"interactive":[26,47,173],"exploration":[28,48],"by":[29,103,160],"revealing":[30],"fine":[31],"details.":[33],"is":[35,96,126,139],"achieved":[36],"through":[37],"use":[39],"of":[40,49],"animation":[41],"cross-filtering":[43],"interactions.":[44],"To":[45],"support":[46],"big":[50,130,162,177],"data,":[51],"features":[53],"a":[54,91],"GPU":[55,79],"(Graphics":[56],"Processing":[57],"Unit)-centric":[58],"design.":[59],"Two":[60,144],"key":[61],"aspects":[62],"are":[63,75],"emphasized":[64],"on":[65,77,111,141],"GPU-centric":[67],"design:":[68],"(1)":[69,123],"both":[70],"management":[72],"computation":[74],"implemented":[76],"to":[80,98,128],"leverage":[81],"its":[82],"parallel":[83,142],"computing":[84],"capability":[85],"fast":[87],"memory":[88],"bandwidth;":[89],"(2)":[90,136],"GPU-based":[92,170],"directed":[93],"acyclic":[94],"graph":[95],"proposed":[97],"characterize":[99],"transformations":[101],"triggered":[102],"users\u2019":[104],"demands.":[105],"Moreover,":[106],"we":[107,119,165],"implement":[108],"based":[110,140],"Model-View-Controller":[113],"(MVC)":[114],"architecture.":[115],"In":[116],"implementation,":[118],"consider":[120],"two":[121],"aspects:":[122],"user":[124],"interaction":[125],"highlighted":[127],"slice":[129],"into":[132],"small":[133],"data;":[134],"transformation":[138],"computing.":[143],"case":[145],"studies":[146],"demonstrate":[147],"how":[148],"can":[150],"help":[151],"analysts":[152],"identify":[153],"abnormal":[154],"behaviors":[155],"infer":[157],"new":[158],"hypotheses":[159],"Finally,":[164],"summarize":[166],"lessons":[167],"learned":[168],"about":[169],"solutions":[171],"in":[172],"information":[174],"with":[176],"data.":[178]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}