{"id":"https://openalex.org/W2901656219","doi":"https://doi.org/10.1109/dasip.2018.8597004","title":"Energy and Execution Time Comparison of Optical Flow Algorithms on SIMD and GPU Architectures","display_name":"Energy and Execution Time Comparison of Optical Flow Algorithms on SIMD and GPU Architectures","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2901656219","doi":"https://doi.org/10.1109/dasip.2018.8597004","mag":"2901656219"},"language":"en","primary_location":{"id":"doi:10.1109/dasip.2018.8597004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasip.2018.8597004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Conference on Design and Architectures for Signal and Image Processing (DASIP)","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/A5000535991","display_name":"Andrea Petreto","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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andrea Petreto","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106945386","display_name":"Arthur Marius 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":false,"raw_author_name":"Arthur Hennequin","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638400","display_name":"Thomas K\u0153hler","orcid":"https://orcid.org/0000-0001-8461-8075"},"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":false,"raw_author_name":"Thomas Koehler","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054455808","display_name":"Thomas Romera","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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Romera","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046146465","display_name":"Yohan Fargeix","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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yohan Fargeix","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020591892","display_name":"Boris Gaillard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166450","display_name":"Alcen (France)","ror":"https://ror.org/05qgpp431","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210166450"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boris Gaillard","raw_affiliation_strings":["Lheritier-Alcen, Cergy-Pontoise, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lheritier-Alcen, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I4210166450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082739721","display_name":"Manuel Bouyer","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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Manuel Bouyer","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045016284","display_name":"Quentin Meunier","orcid":"https://orcid.org/0000-0001-8848-8079"},"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":false,"raw_author_name":"Quentin L. Meunier","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]},{"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Lacassagne","raw_affiliation_strings":["CNRS, Sorbonne University, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Sorbonne University, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.53,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72255994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.900723934173584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8485985994338989},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7193691730499268},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5693492889404297},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5069146752357483},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46113359928131104},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4596068859100342},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4495113492012024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4386541545391083},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4268226623535156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3421036899089813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11974957585334778}],"concepts":[{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.900723934173584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8485985994338989},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7193691730499268},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5693492889404297},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5069146752357483},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46113359928131104},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4596068859100342},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4495113492012024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4386541545391083},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4268226623535156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3421036899089813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11974957585334778},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasip.2018.8597004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasip.2018.8597004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Conference on Design and Architectures for Signal and Image Processing (DASIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1512782336","https://openalex.org/W1578285471","https://openalex.org/W1578985305","https://openalex.org/W1864199185","https://openalex.org/W1967279458","https://openalex.org/W1968257358","https://openalex.org/W1989381215","https://openalex.org/W2000880458","https://openalex.org/W2004316855","https://openalex.org/W2022038016","https://openalex.org/W2035720033","https://openalex.org/W2039731429","https://openalex.org/W2073499905","https://openalex.org/W2096642134","https://openalex.org/W2113221323","https://openalex.org/W2114929171","https://openalex.org/W2147253850","https://openalex.org/W2154786353","https://openalex.org/W2278393599","https://openalex.org/W2295628903","https://openalex.org/W2318326349","https://openalex.org/W2548527721","https://openalex.org/W2751023760","https://openalex.org/W3125983777","https://openalex.org/W3143740202","https://openalex.org/W6630532278","https://openalex.org/W6676930236","https://openalex.org/W6682805176","https://openalex.org/W6697222930","https://openalex.org/W6792416829"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2099629705","https://openalex.org/W1500978221"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"and":[3,20,28,30,39,46,75,173],"compares":[4],"optimized":[5,55],"implementations":[6],"of":[7,41,87,97,153],"two":[8,23],"optical":[9,191],"flow":[10,192],"algorithms":[11,24],"on":[12,64,145,155,171],"several":[13],"target":[14,76,102],"boards":[15,77],"comprising":[16],"multi-core":[17],"SIMD":[18,56],"processors":[19],"GPUs.":[21,65],"The":[22,105,147],"are":[25,36,113],"Horn-Schunck":[26],"(HS)":[27],"TV-L1,":[29],"have":[31,52],"been":[32,62],"chosen":[33],"because":[34,40],"they":[35],"both":[37,49,118],"well-known,":[38],"their":[42],"different":[43,73],"computational":[44],"complexity":[45],"accuracy.":[47],"For":[48,66],"algorithms,":[50],"we":[51,101],"made":[53],"parallel":[54],"implementations,":[57],"while":[58],"HS":[59,160],"has":[60],"also":[61,149],"implemented":[63],"each":[67],"algorithm,":[68],"the":[69,72,111,114,151],"comparison":[70],"between":[71],"versions":[74],"is":[78],"carried":[79],"out":[80],"in":[81,85,95,117,123],"a":[82],"two-dimensional":[83],"fashion:":[84],"terms":[86,96],"computing":[88],"speed-in":[89],"order":[90],"to":[91,121,131],"achieve":[92,175],"real-time":[93,176],"computation-and":[94],"energy":[98],"consumption":[99],"since":[100],"embedded":[103,193],"systems.":[104,194],"results":[106,148,186],"show":[107],"that":[108],"for":[109,134,141,180],"HS,":[110],"GPUs":[112],"most":[115],"efficient":[116],"dimensions,":[119],"able":[120],"process":[122],"realtime":[124],"performances":[125,177],"(25":[126],"frames":[127],"per":[128,136,143],"second)":[129],"up":[130],"8Mpix":[132],"images":[133,140],"0.35J":[135],"image,":[137],"against":[138],"1.8Mpix":[139],"0.24J":[142],"image":[144],"CPU.":[146],"highlight":[150],"impact":[152],"optimizations":[154],"TV-L1:":[156],"far":[157],"slower":[158],"than":[159],"without":[161],"optimization,":[162],"it":[163],"can":[164,174],"almost":[165],"match":[166],"its":[167],"performance":[168],"after":[169],"optimization":[170],"CPU,":[172],"with":[178],"0.25J":[179],"1.4Mpix":[181],"images.":[182],"We":[183],"hope":[184],"these":[185],"will":[187],"help":[188],"developers":[189],"design":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
