{"id":"https://openalex.org/W2913952670","doi":"https://doi.org/10.1145/3303117.3306164","title":"Designing efficient SIMD algorithms for direct Connected Component Labeling","display_name":"Designing efficient SIMD algorithms for direct Connected Component Labeling","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2913952670","doi":"https://doi.org/10.1145/3303117.3306164","mag":"2913952670"},"language":"en","primary_location":{"id":"doi:10.1145/3303117.3306164","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3303117.3306164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Programming Models for SIMD/Vector Processing","raw_type":"proceedings-article"},"type":"preprint","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/A5106977332","display_name":"A. M. Hennequin","orcid":"https://orcid.org/0009-0008-7974-3785"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Arthur Hennequin","raw_affiliation_strings":["LIP6 - Sorbonne University, CNRS and LHCb experiment - CERN"],"affiliations":[{"raw_affiliation_string":"LIP6 - Sorbonne University, CNRS and LHCb experiment - CERN","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085991669","display_name":"Ian Masliah","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ian Masliah","raw_affiliation_strings":["LIP6 - Sorbonne University, CNRS"],"affiliations":[{"raw_affiliation_string":"LIP6 - Sorbonne University, CNRS","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086965094","display_name":"Lionel Lacassagne","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Lacassagne","raw_affiliation_strings":["LIP6 - Sorbonne University, CNRS"],"affiliations":[{"raw_affiliation_string":"LIP6 - Sorbonne University, CNRS","institution_ids":["https://openalex.org/I4210159731","https://openalex.org/I1294671590","https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106977332"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I39804081"],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71392213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9617999792098999,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/simd","display_name":"SIMD","score":0.9468438625335693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8299877643585205},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6945693492889404},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.644481897354126},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6378570795059204},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5827389359474182},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.5263223052024841},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.4459109902381897},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44497740268707275},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.4207490384578705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17001044750213623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13579615950584412},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.06002432107925415}],"concepts":[{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.9468438625335693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299877643585205},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6945693492889404},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.644481897354126},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6378570795059204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5827389359474182},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.5263223052024841},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.4459109902381897},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44497740268707275},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.4207490384578705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17001044750213623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13579615950584412},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.06002432107925415},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3303117.3306164","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3303117.3306164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Programming Models for SIMD/Vector Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02049029v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02049029","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WPMVP'19 - 5th Workshop on Programming Models for SIMD/Vector Processing, Feb 2019, Washington, United States. pp.4:1--4:8, &#x27E8;10.1145/3303117.3306164&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1968933256","https://openalex.org/W1996771417","https://openalex.org/W2015323145","https://openalex.org/W2034379488","https://openalex.org/W2036804625","https://openalex.org/W2037320310","https://openalex.org/W2040582952","https://openalex.org/W2055312318","https://openalex.org/W2095595785","https://openalex.org/W2113667851","https://openalex.org/W2157070039","https://openalex.org/W2158240273","https://openalex.org/W2167433899","https://openalex.org/W2294671228","https://openalex.org/W2327212351","https://openalex.org/W2606438808","https://openalex.org/W2626696598","https://openalex.org/W2780646942","https://openalex.org/W2791663731","https://openalex.org/W2792687870","https://openalex.org/W2907448397","https://openalex.org/W3105857276","https://openalex.org/W3125823563","https://openalex.org/W4251637954"],"related_works":["https://openalex.org/W1992352827","https://openalex.org/W1568952724","https://openalex.org/W2060330626","https://openalex.org/W2606438808","https://openalex.org/W1568383588","https://openalex.org/W2378232816","https://openalex.org/W1980767234","https://openalex.org/W2871443533","https://openalex.org/W2170080636","https://openalex.org/W2766329551"],"abstract_inverted_index":{"Connected":[0,70],"Component":[1,71],"Labeling":[2],"(CCL)":[3],"is":[4,12],"a":[5,22,30],"fundamental":[6],"algorithm":[7],"in":[8,20,89],"computer":[9],"vision,":[10],"and":[11,49,83,106],"often":[13],"required":[14],"for":[15,57,69,102,108],"real-time":[16],"applications.":[17],"It":[18],"consists":[19],"assigning":[21],"unique":[23],"number":[24],"to":[25,125],"each":[26,109],"connected":[27],"component":[28],"of":[29,41],"binary":[31],"image.":[32],"In":[33,60],"recent":[34,91],"years,":[35],"we":[36,63],"have":[37,98],"seen":[38],"the":[39,77,90],"emergence":[40],"direct":[42,66],"parallel":[43],"algorithms":[44,56,68,97,116,121,131],"on":[45,76,118],"multicore":[46,103],"CPUs,":[47],"GPUs":[48],"FPGAs":[50],"whereas,":[51],"there":[52],"are":[53,74],"only":[54],"iterative":[55],"SIMD":[58,67,111,119],"implementation.":[59],"this":[61],"article,":[62],"introduce":[64],"new":[65,78,115],"Labeling.":[72],"They":[73],"based":[75,117],"Scatter-Gather,":[79],"Collision":[80],"Detection":[81],"(CD)":[82],"Vector":[84],"Length":[85],"(VL)":[86],"instructions":[87],"available":[88,110],"Intel":[92],"AVX512":[93],"instruction":[94],"set.":[95],"These":[96,114],"also":[99],"been":[100],"adapted":[101],"CPU":[104],"architectures":[105],"tested":[107],"vector":[112],"length.":[113],"Union-Find":[120,133],"can":[122],"be":[123],"applied":[124],"other":[126],"domains":[127],"such":[128],"as":[129],"graphs":[130],"manipulating":[132],"structures.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
