{"id":"https://openalex.org/W1971255011","doi":"https://doi.org/10.1109/ldav.2013.6675156","title":"Efficient parallel volume rendering of large-scale adaptive mesh refinement data","display_name":"Efficient parallel volume rendering of large-scale adaptive mesh refinement data","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1971255011","doi":"https://doi.org/10.1109/ldav.2013.6675156","mag":"1971255011"},"language":"en","primary_location":{"id":"doi:10.1109/ldav.2013.6675156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2013.6675156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"},"type":"article","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/A5000850918","display_name":"Nick Leaf","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nick Leaf","raw_affiliation_strings":["University of California, Davis","University of California Davis  Davis CA USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"University of California Davis  Davis CA USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","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":"Venkatram Vishwanath","raw_affiliation_strings":["Argonne National Laboratory","[Argonne Nat. Lab., Argonne, IL, USA]"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"[Argonne Nat. Lab., Argonne, IL, USA]","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":"Joseph Insley","raw_affiliation_strings":["Argonne National Laboratory","[Argonne Nat. Lab., Argonne, IL, USA]"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"[Argonne Nat. Lab., Argonne, IL, USA]","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":"Mark Hereld","raw_affiliation_strings":["Argonne National Laboratory","[Argonne Nat. Lab., Argonne, IL, USA]"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"[Argonne Nat. Lab., Argonne, IL, USA]","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/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":"Michael E. Papka","raw_affiliation_strings":["Argonne National Laboratory","[Argonne Nat. Lab., Argonne, IL, USA]"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"[Argonne Nat. Lab., Argonne, IL, USA]","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037161857","display_name":"Kwan\u2010Liu Ma","orcid":"https://orcid.org/0000-0001-8086-0366"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwan-Liu Ma","raw_affiliation_strings":["University of California, Davis","University of California Davis  Davis CA USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"University of California Davis  Davis CA USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000850918"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":4.0508,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92949569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"42"},"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":0.9968000054359436,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9787999987602234,"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":0.8766108751296997},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7696458101272583},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.68679279088974},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6143357157707214},{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.5301207900047302},{"id":"https://openalex.org/keywords/gpu-cluster","display_name":"GPU cluster","score":0.5159652829170227},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5140758752822876},{"id":"https://openalex.org/keywords/adaptive-mesh-refinement","display_name":"Adaptive mesh refinement","score":0.48643970489501953},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.45727303624153137},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.45476585626602173},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4296850264072418},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.2833663821220398},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.27660104632377625},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09606164693832397}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8766108751296997},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7696458101272583},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.68679279088974},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6143357157707214},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.5301207900047302},{"id":"https://openalex.org/C2781335571","wikidata":"https://www.wikidata.org/wiki/Q2633544","display_name":"GPU cluster","level":3,"score":0.5159652829170227},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5140758752822876},{"id":"https://openalex.org/C131053463","wikidata":"https://www.wikidata.org/wiki/Q4680751","display_name":"Adaptive mesh refinement","level":2,"score":0.48643970489501953},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.45727303624153137},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.45476585626602173},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4296850264072418},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.2833663821220398},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.27660104632377625},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09606164693832397},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ldav.2013.6675156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2013.6675156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309626","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28"},{"id":"https://openalex.org/F4320338284","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W135659344","https://openalex.org/W204313812","https://openalex.org/W1490291137","https://openalex.org/W1500065269","https://openalex.org/W1582080790","https://openalex.org/W1599393941","https://openalex.org/W1972715213","https://openalex.org/W1995927630","https://openalex.org/W2017259149","https://openalex.org/W2061260835","https://openalex.org/W2070520072","https://openalex.org/W2077047259","https://openalex.org/W2110606751","https://openalex.org/W2114611229","https://openalex.org/W2116283033","https://openalex.org/W2128492388","https://openalex.org/W3106478618","https://openalex.org/W4234659858","https://openalex.org/W4292169137","https://openalex.org/W4382891143","https://openalex.org/W6605532123","https://openalex.org/W6608424376","https://openalex.org/W6629189879","https://openalex.org/W6629617204","https://openalex.org/W6635779158","https://openalex.org/W6677027087"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W4240010153","https://openalex.org/W3215979663","https://openalex.org/W2020043686","https://openalex.org/W4313591746","https://openalex.org/W2147278394","https://openalex.org/W2776531583","https://openalex.org/W613214890","https://openalex.org/W2284138525","https://openalex.org/W2296195027"],"abstract_inverted_index":{"Adaptive":[0],"Mesh":[1],"Refinement":[2],"is":[3,47],"a":[4,36,105,134],"popular":[5],"approach":[6,22,61],"for":[7,43,126],"allocating":[8],"scarce":[9],"computing":[10],"resources":[11],"to":[12,67,86,94],"the":[13,18,27,53,63,69,92,99,121],"most":[14],"important":[15],"portions":[16],"of":[17,57,81,123,137],"simulation":[19,29],"domain.":[20],"This":[21],"implies":[23],"spatial":[24],"compression":[25],"and":[26,39,74,110,129],"large":[28,135],"sizes":[30],"which":[31,46],"necessitate":[32],"it.":[33],"We":[34,78,102],"present":[35,104],"novel,":[37],"cluster-":[38],"GPU-parallel":[40],"rendering":[41],"scheme":[42],"AMR":[44,58,65],"data,":[45],"built":[48],"on":[49,98],"previous":[50],"work":[51],"in":[52],"GPU":[54],"ray":[55],"casting":[56],"data.":[59],"Our":[60],"utilizes":[62],"existing":[64],"structure":[66],"subdivide":[68],"problem":[70],"into":[71],"convexly-bounded":[72],"chunks":[73,85],"perform":[75],"static":[76],"load-balancing.":[77],"take":[79],"advantage":[80],"data":[82],"locality":[83],"within":[84],"interpolate":[87],"directly":[88],"between":[89],"blocks":[90],"without":[91],"need":[93],"store":[95],"ghost":[96],"cells":[97],"interior":[100],"boundaries.":[101],"also":[103],"novel":[106],"block":[107],"decomposition":[108],"method,":[109],"analyze":[111],"its":[112,131],"performance":[113],"against":[114],"two":[115],"alternative":[116],"methods.":[117],"Finally,":[118],"we":[119],"examine":[120],"interactivity":[122],"our":[124],"renderer":[125],"multiple":[127],"datasets,":[128],"consider":[130],"scalability":[132],"across":[133],"number":[136],"GPUs.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}