{"id":"https://openalex.org/W2290080672","doi":"https://doi.org/10.2312/pgv.20151149","title":"Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail","display_name":"Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2290080672","doi":"https://doi.org/10.2312/pgv.20151149","mag":"2290080672"},"language":"en","primary_location":{"id":"doi:10.2312/pgv.20151149","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20151149","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":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pgv.20151149","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022638931","display_name":"Silvio Rizzi","orcid":"https://orcid.org/0000-0002-3804-2471"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rizzi, Silvio","raw_affiliation_strings":["Argonne National Laboratory"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002422775","display_name":"Mark Hereld","orcid":"https://orcid.org/0000-0002-0268-2880"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hereld, Mark","raw_affiliation_strings":["Argonne National Laboratory"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087592613","display_name":"Joseph A. Insley","orcid":"https://orcid.org/0000-0002-6955-869X"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Insley, Joseph","raw_affiliation_strings":["Argonne National Laboratory"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010928934","display_name":"Michael E. Papka","orcid":"https://orcid.org/0000-0002-6418-5767"},"institutions":[{"id":"https://openalex.org/I102502594","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772","country_code":"US","type":"education","lineage":["https://openalex.org/I102502594"]},{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Papka, Michael E.","raw_affiliation_strings":["Argonne National Laboratory & Northern Illinois University"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory & Northern Illinois University","institution_ids":["https://openalex.org/I1282105669","https://openalex.org/I102502594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036112655","display_name":"Thomas Uram","orcid":"https://orcid.org/0000-0002-5631-0142"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uram, Thomas","raw_affiliation_strings":["Argonne National Laboratory"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075500139","display_name":"Venkatram Vishwanath","orcid":"https://orcid.org/0000-0001-7248-6116"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishwanath, Venkatram","raw_affiliation_strings":["Argonne National Laboratory"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022638931"],"corresponding_institution_ids":["https://openalex.org/I1282105669"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9933000206947327,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8307702541351318},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7733609676361084},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6753436326980591},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6451447606086731},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5237833857536316},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5180583000183105},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5147674083709717},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.501610517501831},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4646218717098236},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4263768792152405},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4261205494403839},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4218083620071411},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3996391296386719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.219672292470932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21615353226661682},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12814876437187195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307702541351318},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7733609676361084},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6753436326980591},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6451447606086731},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5237833857536316},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5180583000183105},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5147674083709717},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.501610517501831},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4646218717098236},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4263768792152405},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4261205494403839},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4218083620071411},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3996391296386719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.219672292470932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21615353226661682},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12814876437187195},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/pgv.20151149","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20151149","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"},{"id":"mag:2290080672","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/egpgv/egpgv2015.html#RizziHIPUV15","pdf_url":null,"source":{"id":"https://openalex.org/S4306418300","display_name":"Eurographics Workshop on Parallel Graphics and Visualization","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":"Eurographics Workshop on Parallel Graphics and Visualization","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pgv.20151149","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pgv.20151149","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":25,"referenced_works":["https://openalex.org/W189415188","https://openalex.org/W305642922","https://openalex.org/W432043589","https://openalex.org/W1496245951","https://openalex.org/W1498712972","https://openalex.org/W1500065269","https://openalex.org/W1514540736","https://openalex.org/W1981017141","https://openalex.org/W2006543911","https://openalex.org/W2058258613","https://openalex.org/W2059890688","https://openalex.org/W2062420191","https://openalex.org/W2063681736","https://openalex.org/W2086748522","https://openalex.org/W2096727451","https://openalex.org/W2098221733","https://openalex.org/W2099272828","https://openalex.org/W2122337603","https://openalex.org/W2125141584","https://openalex.org/W2127883272","https://openalex.org/W2139635799","https://openalex.org/W2161854574","https://openalex.org/W2248992661","https://openalex.org/W3098471498","https://openalex.org/W3121891190"],"related_works":["https://openalex.org/W2114032261","https://openalex.org/W1966537360","https://openalex.org/W2142026089","https://openalex.org/W2896763451","https://openalex.org/W106209144","https://openalex.org/W2125808398","https://openalex.org/W2105843288","https://openalex.org/W2096242730","https://openalex.org/W2085144097","https://openalex.org/W2034397601","https://openalex.org/W2092356701","https://openalex.org/W2083312936","https://openalex.org/W2534242605","https://openalex.org/W2140743603","https://openalex.org/W2052507190","https://openalex.org/W1996729360","https://openalex.org/W2071307843","https://openalex.org/W2122337603","https://openalex.org/W2507763872","https://openalex.org/W2136011578"],"abstract_inverted_index":{"Recent":[0],"large-scale":[1,123],"particle-based":[2],"simulations":[3],"are":[4,153,175],"generating":[5],"vast":[6],"amounts":[7],"of":[8,37,40,45,69,80,90,94,100,122,142,169],"data":[9,82,125,144],"posing":[10],"a":[11,27,53,77,91,97,117,138,156],"challenge":[12,21],"to":[13,23,55,85,136,162,171],"visualization":[14,158],"algorithms.":[15],"One":[16],"possibility":[17],"for":[18,30,119],"addressing":[19],"this":[20,113],"is":[22,83,134],"map":[24],"particles":[25,95,174],"into":[26],"regular":[28],"grid":[29],"volume":[31],"rendering,":[32],"which":[33,145],"carries":[34],"the":[35,81,143],"disadvantages":[36],"inefficient":[38],"use":[39],"memory":[41,73],"and":[42,105,130,151],"undesired":[43],"losses":[44],"dynamic":[46,70],"range.":[47],"As":[48],"an":[49],"alternative,":[50],"we":[51,115],"propose":[52],"method":[54],"efficiently":[56],"visualize":[57],"these":[58],"massive":[59],"particle":[60,124,167],"datasets":[61,168],"using":[62,166],"point":[63,103,128],"rendering":[64,121],"techniques":[65],"with":[66],"neither":[67],"loss":[68],"range":[71],"nor":[72],"overheads.":[74],"In":[75,112],"addition,":[76],"hierarchical":[78],"reorganization":[79],"desired":[84],"deliver":[86],"meaningful":[87],"visual":[88],"representations":[89],"large":[92],"number":[93,99],"in":[96],"limited":[98],"pixels,":[101],"preserving":[102],"locality":[104],"also":[106],"helping":[107],"achieve":[108],"interactive":[109],"frame":[110,148],"rates.":[111,149],"paper,":[114],"present":[116],"framework":[118],"parallel":[120],"sets":[126],"combining":[127],"sprites":[129],"z-ordering.":[131],"The":[132],"latter":[133],"used":[135],"create":[137],"multi":[139],"level":[140],"representation":[141],"helps":[146],"improving":[147],"Performance":[150],"scalability":[152],"evaluated":[154],"on":[155],"GPU-based":[157],"cluster,":[159],"scaling":[160],"up":[161,170],"128":[163],"GPUs.":[164],"Results":[165],"32":[172],"billion":[173],"shown.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}