{"id":"https://openalex.org/W2781084820","doi":"https://doi.org/10.1109/ldav.2017.8231854","title":"Parallel multi-layer ghost cell generation for distributed unstructured grids","display_name":"Parallel multi-layer ghost cell generation for distributed unstructured grids","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2781084820","doi":"https://doi.org/10.1109/ldav.2017.8231854","mag":"2781084820"},"language":"en","primary_location":{"id":"doi:10.1109/ldav.2017.8231854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2017.8231854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th Symposium on Large 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/A5002044808","display_name":"John Patchett","orcid":"https://orcid.org/0000-0002-6777-9392"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John M. Patchett","raw_affiliation_strings":["Los Alamos National Laboratory, TU Kaiserslautern"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, TU Kaiserslautern","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086084997","display_name":"Boonthanome Nouanesengesy","orcid":null},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boonthanome Nouanesengesy","raw_affiliation_strings":["Los Alamos National Laboratory"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033364822","display_name":"Joachim Pouderoux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joachim Pouderoux","raw_affiliation_strings":["Kitware, SAS"],"affiliations":[{"raw_affiliation_string":"Kitware, SAS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000687536","display_name":"James Ahrens","orcid":"https://orcid.org/0000-0001-9378-282X"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Ahrens","raw_affiliation_strings":["Los Alamos National Laboratory"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005530908","display_name":"Hans Hagen","orcid":"https://orcid.org/0000-0001-5626-963X"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I4387152675","display_name":"Rheinland-Pf\u00e4lzische Technische Universit\u00e4t Kaiserslautern-Landau","ror":"https://ror.org/01qrts582","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152675"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans Hagen","raw_affiliation_strings":["TU Kaiserslautern"],"affiliations":[{"raw_affiliation_string":"TU Kaiserslautern","institution_ids":["https://openalex.org/I153267046","https://openalex.org/I4387152675"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002044808"],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":null,"apc_paid":null,"fwci":0.4144,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68087133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"366","issue":null,"first_page":"84","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9973999857902527,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7458827495574951},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6880806684494019},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6859738826751709},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6157013177871704},{"id":"https://openalex.org/keywords/unstructured-grid","display_name":"Unstructured grid","score":0.5520440340042114},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.47553086280822754},{"id":"https://openalex.org/keywords/grid-cell","display_name":"Grid cell","score":0.4687977433204651},{"id":"https://openalex.org/keywords/regular-grid","display_name":"Regular grid","score":0.46681782603263855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3770914375782013},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.335787832736969},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3232089877128601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21314740180969238},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.18897485733032227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12628427147865295},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09683763980865479},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07523441314697266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458827495574951},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6880806684494019},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6859738826751709},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6157013177871704},{"id":"https://openalex.org/C134620963","wikidata":"https://www.wikidata.org/wiki/Q17078677","display_name":"Unstructured grid","level":3,"score":0.5520440340042114},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.47553086280822754},{"id":"https://openalex.org/C2983008078","wikidata":"https://www.wikidata.org/wiki/Q863495","display_name":"Grid cell","level":3,"score":0.4687977433204651},{"id":"https://openalex.org/C43173174","wikidata":"https://www.wikidata.org/wiki/Q2646942","display_name":"Regular grid","level":3,"score":0.46681782603263855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3770914375782013},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.335787832736969},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3232089877128601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21314740180969238},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.18897485733032227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12628427147865295},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09683763980865479},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07523441314697266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ldav.2017.8231854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ldav.2017.8231854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320310969","display_name":"Technische Universit\u00e4t Kaiserslautern","ror":"https://ror.org/04zrf7b53"},{"id":"https://openalex.org/F4320329301","display_name":"Electricit\u00e9 de France","ror":null},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1494972069","https://openalex.org/W1498712972","https://openalex.org/W1985779255","https://openalex.org/W2061260835","https://openalex.org/W2115875858","https://openalex.org/W2129053762","https://openalex.org/W2139635799","https://openalex.org/W2141927091","https://openalex.org/W2146417834","https://openalex.org/W2254258569","https://openalex.org/W2491091343","https://openalex.org/W2586684984","https://openalex.org/W3103643701","https://openalex.org/W4300774209","https://openalex.org/W4405360421","https://openalex.org/W6646731813","https://openalex.org/W6681477774","https://openalex.org/W6691713906","https://openalex.org/W6732902913"],"related_works":["https://openalex.org/W2066112578","https://openalex.org/W2083115061","https://openalex.org/W2350381346","https://openalex.org/W2782729910","https://openalex.org/W2049038775","https://openalex.org/W2049785183","https://openalex.org/W14599679","https://openalex.org/W1969338922","https://openalex.org/W2884635543","https://openalex.org/W1256654449"],"abstract_inverted_index":{"Ghost":[0,25],"cells":[1,26,34,64,82,234,252,286],"are":[2,14,27,44,51,301,310],"important":[3],"for":[4,16,83,213,224,235],"distributed":[5,255],"memory":[6],"parallel":[7,227,290],"operations":[8,179],"that":[9,145,158,180],"require":[10],"neighborhood":[11,182],"information,":[12,183],"and":[13,70,129,294,316,322,341],"required":[15],"correctness":[17],"on":[18,77,140],"the":[19,36,40,54,97,100,109,113,119,126,169,203,217,308,320,336,344],"boundaries":[20],"of":[21,32,39,96,99,205,232,278,282,284,305],"local":[22,41,55,170],"data":[23,48,67,143,171,187,238,257,269],"partitions.":[24,49],"one":[28,228],"or":[29,229,263],"more":[30,230],"layers":[31,231,283],"grid":[33,85,101,110,142,237],"surrounding":[35],"external":[37],"boundary":[38],"partition,":[42],"which":[43,123,239],"owned":[45],"by":[46,53,75,118],"other":[47],"They":[50],"used":[52],"partition":[56,196],"when":[57,138],"neighbor":[58,106,127],"information":[59],"is":[60,68,88,111,115,135,166,220,276,332],"required.":[61],"Finding":[62],"ghost":[63,81,150,174,206,233,251,272,285,327],"in":[65,102,168,226,253,335],"structured":[66],"trivial":[69],"can":[71],"normally":[72],"be":[73],"done":[74],"calculating":[76],"cell":[78,160,190,262,328],"indices.":[79],"Obtaining":[80],"unstructured":[84,141,214,236,256],"data,":[86,191],"however,":[87],"a":[89,136,159,246,267,314],"nontrivial":[90],"task.":[91],"It":[92],"requires":[93],"an":[94],"analysis":[95,318],"connectivity":[98],"order":[103],"to":[104,121,178,249,288,297,307],"find":[105],"cells.":[107,151],"When":[108],"distributed,":[112],"operation":[114],"further":[116],"complicated":[117],"need":[120,181],"determine":[122],"processes":[124],"own":[125],"cells,":[128,175,207,273],"coordinating":[130],"communication":[131],"with":[132,259,313,325],"them.":[133],"This":[134],"problem":[137],"operating":[139],"sets":[144,258],"do":[146],"not":[147,162,167,209],"already":[148,241],"have":[149],"Parallel":[152],"visualization":[153,199],"algorithms":[154],"will":[155],"usually":[156],"assume":[157],"does":[161],"exist":[163],"if":[164],"it":[165],"partition.":[172],"Without":[173],"this":[176,274,326],"leads":[177],"such":[184],"as":[185,343],"point":[186,264],"interpolated":[188],"from":[189],"being":[192],"calculated":[193],"incorrectly":[194],"at":[195],"boundaries.":[197],"Production":[198],"tools":[200],"generally":[201],"support":[202,289],"existence":[204],"but":[208],"their":[210],"generation,":[211],"especially":[212],"grids.":[215],"In":[216],"literature,":[218],"there":[219],"no":[221,260],"documented":[222],"algorithm":[223,248,275,309,331],"generating":[225],"has":[240],"been":[242],"partitioned.":[243],"We":[244],"present":[245],"new":[247],"compute":[250],"parallelon":[254],"global":[261],"IDs.":[265],"Given":[266],"partitioned":[268],"set":[270],"without":[271],"capable":[277],"producing":[279],"any":[280],"number":[281,304],"necessary":[287],"operations.":[291],"Performance":[292],"results":[293],"timing":[295],"comparisons":[296],"ParaView's":[298],"D3":[299],"filter":[300],"presented.":[302],"A":[303],"optimizations":[306],"also":[311],"presented,":[312],"space":[315],"performance":[317],"showing":[319],"benefits":[321],"trade-offs":[323],"enabled":[324],"generator.":[329],"The":[330],"currently":[333],"available":[334],"Visualization":[337],"Toolkit":[338],"(VTK)":[339],"[11]":[340],"ParaView":[342],"vtkPUn-structuredGridGhostCellsGenerator":[345],"filter.":[346]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}