{"id":"https://openalex.org/W3035326466","doi":"https://doi.org/10.1109/icme46284.2020.9102973","title":"Accelerating The Vvc Decoder For Vector Length Agnostic Simd Architectures","display_name":"Accelerating The Vvc Decoder For Vector Length Agnostic Simd Architectures","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3035326466","doi":"https://doi.org/10.1109/icme46284.2020.9102973","mag":"3035326466"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091766694","display_name":"Yassin Kaddar","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yassin Kaddar","raw_affiliation_strings":["Embedded Systems Architecture, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Architecture, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083634829","display_name":"Angela Pohl","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Angela Pohl","raw_affiliation_strings":["Embedded Systems Architecture, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Architecture, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112321355","display_name":"Ben Juurlink","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ben Juurlink","raw_affiliation_strings":["Embedded Systems Architecture, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Architecture, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05442485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"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/speedup","display_name":"Speedup","score":0.8417301177978516},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.8328734636306763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919812202453613},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6467574238777161},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.586689829826355},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5683788657188416},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4868909418582916},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41827476024627686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3433213233947754},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.34294837713241577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14245814085006714}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8417301177978516},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.8328734636306763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919812202453613},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6467574238777161},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.586689829826355},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5683788657188416},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4868909418582916},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41827476024627686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3433213233947754},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.34294837713241577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14245814085006714},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme46284.2020.9102973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2033140753","https://openalex.org/W2082971750","https://openalex.org/W2613264175","https://openalex.org/W2758250355","https://openalex.org/W2806516037","https://openalex.org/W2896415993","https://openalex.org/W2898658159","https://openalex.org/W3086504363","https://openalex.org/W3104634154","https://openalex.org/W3123542955","https://openalex.org/W6783390103"],"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/W2099629705","https://openalex.org/W2604335382","https://openalex.org/W4242191701"],"abstract_inverted_index":{"The":[0],"standardization":[1],"of":[2,45,69,101],"the":[3,7,16,30,46,61,66,74,104,117],"next-generation":[4],"video":[5],"standard,":[6],"Versatile":[8],"Video":[9],"Coding":[10],"(VVC),":[11],"is":[12,52],"nearing":[13],"completion.":[14],"At":[15],"same":[17],"time,":[18],"new":[19],"architectures":[20,71],"for":[21,137],"Single":[22],"Instruction":[23],"Multiple":[24],"Data":[25],"(SIMD)":[26],"extensions":[27],"are":[28,89],"entering":[29],"market.":[31],"They":[32],"implement":[33],"a":[34,99,132],"vector":[35,49,126,138],"length":[36],"agnostic":[37],"approach,":[38],"i.e.":[39],"code":[40],"can":[41],"be":[42],"vectorized":[43],"independently":[44],"target":[47],"hardware":[48],"size":[50],"and":[51,64,129],"therefore":[53],"portable":[54],"across":[55],"different":[56],"platforms.":[57],"We":[58],"have":[59],"taken":[60],"VVC":[62],"decoder":[63],"explored":[65],"speedup":[67],"potential":[68],"such":[70],"by":[72,96,109],"implementing":[73],"three":[75],"most":[76],"time-consuming":[77],"kernels":[78,95,122],"with":[79],"ARM's":[80],"Scalable":[81],"Vector":[82],"Extensions":[83],"(SVE).":[84],"Results":[85],"show":[86],"that":[87],"we":[88,130],"able":[90],"to":[91,98,111],"speed":[92,107],"up":[93,97],"individual":[94],"factor":[100],"3,":[102],"while":[103],"overall":[105],"decoding":[106],"increases":[108],"18%":[110],"29%":[112],"on":[113,116,135],"average,":[114],"depending":[115],"quantization":[118],"parameter.":[119],"Not":[120],"all":[121],"benefit":[123],"from":[124],"increasing":[125],"lengths,":[127],"however,":[128],"observe":[131],"diminishing":[133],"return":[134],"investment":[136],"sizes":[139],"larger":[140],"than":[141],"512":[142],"bit.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}