{"id":"https://openalex.org/W2096980209","doi":"https://doi.org/10.2312/egpgv/egpgv10/101-110","title":"Accelerating and Benchmarking Radix-k Image Compositing at Large Scale","display_name":"Accelerating and Benchmarking Radix-k Image Compositing at Large Scale","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2096980209","doi":"https://doi.org/10.2312/egpgv/egpgv10/101-110","mag":"2096980209"},"language":"en","primary_location":{"id":"mag:2096980209","is_oa":false,"landing_page_url":"https://web.eecs.utk.edu/~huangj/papers/egpgv10.pdf","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":false,"raw_source_name":"Eurographics Workshop on Parallel Graphics and Visualization","raw_type":null},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egpgv/egpgv10/101-110","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108094134","display_name":"Wesley Kendall","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kendall, Wesley","raw_affiliation_strings":["The University of Tennessee, Knoxville, TN#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tennessee, Knoxville, TN#TAB#","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108096533","display_name":"Tom Peterka","orcid":null},"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":"Peterka, Tom","raw_affiliation_strings":["Argonne National Laboratory, Argonne, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Argonne, IL","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041484012","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-9288-0505"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huang, Jian","raw_affiliation_strings":["The University of Tennessee, Knoxville, TN#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tennessee, Knoxville, TN#TAB#","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065630217","display_name":"Han\u2010Wei Shen","orcid":"https://orcid.org/0000-0002-1211-2320"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shen, Han-Wei","raw_affiliation_strings":["The Ohio State University, Columbus (OH)#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus (OH)#TAB#","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036808423","display_name":"Robert Ross","orcid":"https://orcid.org/0000-0002-5435-5857"},"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":"Ross, Robert","raw_affiliation_strings":["Argonne National Laboratory, Argonne, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Argonne, IL","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9991000294685364,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/compositing","display_name":"Compositing","score":0.752939760684967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185328006744385},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6351653933525085},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5670225620269775},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5267134308815002},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.5105272531509399},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4984254837036133},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.49459096789360046},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.46008729934692383},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.42641162872314453},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.40993618965148926},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3937309980392456},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33124756813049316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3284189999103546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3248671889305115},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10580599308013916}],"concepts":[{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.752939760684967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185328006744385},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6351653933525085},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5670225620269775},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5267134308815002},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.5105272531509399},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4984254837036133},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.49459096789360046},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.46008729934692383},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.42641162872314453},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40993618965148926},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3937309980392456},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33124756813049316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3284189999103546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3248671889305115},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10580599308013916},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:2096980209","is_oa":false,"landing_page_url":"https://web.eecs.utk.edu/~huangj/papers/egpgv10.pdf","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},{"id":"doi:10.2312/egpgv/egpgv10/101-110","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egpgv/egpgv10/101-110","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/egpgv/egpgv10/101-110","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egpgv/egpgv10/101-110","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1537987160","https://openalex.org/W1559867501","https://openalex.org/W1974600473","https://openalex.org/W1985779255","https://openalex.org/W1990833502","https://openalex.org/W1991484114","https://openalex.org/W2011305818","https://openalex.org/W2019596980","https://openalex.org/W2053389688","https://openalex.org/W2097161749","https://openalex.org/W2114611229","https://openalex.org/W2120432848","https://openalex.org/W2121512784","https://openalex.org/W2126167547","https://openalex.org/W2144823948","https://openalex.org/W2159285173","https://openalex.org/W2287868938","https://openalex.org/W3137044537"],"related_works":["https://openalex.org/W2121512784","https://openalex.org/W1974600473","https://openalex.org/W2019457621","https://openalex.org/W2114611229","https://openalex.org/W1559867501","https://openalex.org/W1504944596","https://openalex.org/W1565811211","https://openalex.org/W1990833502","https://openalex.org/W2097161749","https://openalex.org/W1572075519","https://openalex.org/W2087730689","https://openalex.org/W2015249891","https://openalex.org/W2782316335","https://openalex.org/W2136269177","https://openalex.org/W2027721016","https://openalex.org/W2170796499","https://openalex.org/W2053389688","https://openalex.org/W1997057955","https://openalex.org/W2120432848","https://openalex.org/W2083312936"],"abstract_inverted_index":{"Radix-k":[0],"was":[1],"introduced":[2],"in":[3,38,93],"2009":[4],"as":[5],"a":[6,97],"configurable":[7],"image":[8,76],"compositing":[9,87],"algorithm.":[10],"The":[11],"ability":[12],"to":[13,21,51],"tune":[14],"it":[15,20],"by":[16],"selecting":[17],"k-values":[18],"allows":[19],"benefit":[22],"more":[23],"from":[24],"pixel":[25],"reduction":[26],"and":[27,43,47,53,59,78,80,91,101,111],"compression":[28],"optimizations":[29,37],"than":[30],"its":[31],"predecessors.":[32],"This":[33],"paper":[34],"describes":[35],"such":[36],"Radix-k,":[39],"analyzes":[40],"their":[41],"effects,":[42],"demonstrates":[44],"improved":[45],"performance":[46,107],"scalability.":[48],"In":[49],"addition":[50],"bounding":[52],"run-length":[54],"encoding":[55],"pixels,":[56],"k-value":[57],"selection":[58],"load":[60],"balance":[61],"are":[62,84],"regulated":[63],"at":[64,119,129],"run-time.":[65],"Performance":[66],"is":[67],"systematically":[68],"analyzed":[69],"for":[70],"an":[71],"array":[72],"of":[73,88,96,121],"process":[74],"counts,":[75],"sizes,":[77],"HPC":[79],"graphics":[81],"clusters.":[82],"Analyses":[83],"performed":[85],"using":[86],"synthetic":[89],"images":[90],"also":[92],"the":[94],"context":[95],"complete":[98],"volume":[99],"renderer":[100],"scientific":[102],"data.":[103],"We":[104],"demonstrate":[105],"increased":[106],"over":[108],"binary":[109],"swap":[110],"show":[112],"that":[113],"64":[114],"megapixels":[115],"can":[116],"be":[117],"composited":[118],"rates":[120],"0.08":[122],"seconds,":[123],"or":[124],"12.5":[125],"frames":[126],"per":[127],"second,":[128],"32":[130],"K":[131],"processes.":[132]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}