{"id":"https://openalex.org/W3001489246","doi":"https://doi.org/10.1109/6gsummit49458.2020.9083751","title":"Interoperable GPU Kernels as Latency Improver for MEC","display_name":"Interoperable GPU Kernels as Latency Improver for MEC","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3001489246","doi":"https://doi.org/10.1109/6gsummit49458.2020.9083751","mag":"3001489246"},"language":"en","primary_location":{"id":"doi:10.1109/6gsummit49458.2020.9083751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gsummit49458.2020.9083751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.09352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020408213","display_name":"Juuso Haavisto","orcid":"https://orcid.org/0000-0002-1553-7949"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juuso Haavisto","raw_affiliation_strings":["Center for Ubiquitous Computing University of Oulu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Ubiquitous Computing University of Oulu","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009824133","display_name":"Jukka Riekki","orcid":"https://orcid.org/0000-0002-1694-9152"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka Riekki","raw_affiliation_strings":["Center for Ubiquitous Computing University of Oulu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Ubiquitous Computing University of Oulu","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987000226974487,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987000226974487,"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/T10888","display_name":"Augmented Reality Applications","score":0.9980999827384949,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9832000136375427,"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/computer-science","display_name":"Computer science","score":0.8594603538513184},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.7167730331420898},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.697462797164917},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6007196307182312},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.52442467212677},{"id":"https://openalex.org/keywords/interoperability","display_name":"Interoperability","score":0.5065025091171265},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45309099555015564},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.32386314868927},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0930333137512207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8594603538513184},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.7167730331420898},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.697462797164917},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6007196307182312},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.52442467212677},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.5065025091171265},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45309099555015564},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.32386314868927},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0930333137512207}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/6gsummit49458.2020.9083751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/6gsummit49458.2020.9083751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd 6G Wireless Summit (6G SUMMIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.09352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.09352","pdf_url":"https://arxiv.org/pdf/2001.09352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3001489246","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2001.09352.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2001.09352","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.09352","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.09352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.09352","pdf_url":"https://arxiv.org/pdf/2001.09352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1970069421","https://openalex.org/W2469644385","https://openalex.org/W2568567270","https://openalex.org/W2624096223","https://openalex.org/W2644985445","https://openalex.org/W2898878533","https://openalex.org/W2931743911","https://openalex.org/W2946905482","https://openalex.org/W2976857458","https://openalex.org/W4235593108","https://openalex.org/W4237011330"],"related_works":["https://openalex.org/W2259317023","https://openalex.org/W2808758461","https://openalex.org/W3032902986","https://openalex.org/W3089950991","https://openalex.org/W2226815576","https://openalex.org/W2557367833","https://openalex.org/W2007511350","https://openalex.org/W2066860750","https://openalex.org/W3103894541","https://openalex.org/W3089372508","https://openalex.org/W2883073617","https://openalex.org/W2895997754","https://openalex.org/W3088415669","https://openalex.org/W3139094288","https://openalex.org/W2074132380","https://openalex.org/W3094153456","https://openalex.org/W2905658624","https://openalex.org/W2600657359","https://openalex.org/W2533246012","https://openalex.org/W2905209374"],"abstract_inverted_index":{"Mixed":[0],"reality":[1],"(MR)":[2],"applications":[3],"are":[4,17],"expected":[5],"to":[6,19,22,74,109,125],"become":[7],"common":[8],"when":[9],"5G":[10],"goes":[11],"mainstream.":[12],"However,":[13],"the":[14,23,72,92],"latency":[15,76],"requirements":[16],"challenging":[18],"meet":[20],"due":[21,124],"resources":[24],"required":[25],"by":[26,118],"video-based":[27,110],"remoting":[28],"of":[29,61,155],"graphics,":[30,112],"that":[31,82,123,143],"is,":[32],"decoding":[33],"video":[34,62,68],"codecs.":[35],"We":[36,70,85,141],"propose":[37],"an":[38],"approach":[39,96],"towards":[40],"tackling":[41],"this":[42,65,153],"challenge:":[43],"a":[44,53,57],"client-server":[45],"implementation":[46],"for":[47],"transacting":[48],"intermediate":[49,93],"representation":[50],"(IR)":[51],"between":[52],"mobile":[54],"UE":[55,115],"and":[56,64,102,132],"MEC":[58,133],"server":[59],"instead":[60],"codecs":[63],"way":[66],"avoiding":[67],"decoding.":[69],"demonstrate":[71],"ability":[73],"address":[75],"bottlenecks":[77],"on":[78,129],"edge":[79,111],"computing":[80],"workloads":[81],"transact":[83],"graphics.":[84],"select":[86],"SPIR-V":[87],"compatible":[88],"GPU":[89,100,103],"kernels":[90],"as":[91,148],"representation.":[94],"Our":[95],"requires":[97],"know-how":[98],"in":[99,139],"architecture":[101],"domain-specific":[104],"languages":[105],"(DSLs),":[106],"but":[107],"compared":[108],"it":[113],"decreases":[114],"device":[116],"delay":[117],"sevenfold.":[119],"Further,":[120],"we":[121],"find":[122],"low":[126],"cold-start":[127],"times":[128],"both":[130],"UEs":[131],"servers,":[134],"application":[135],"migration":[136],"can":[137,150],"happen":[138],"milliseconds.":[140],"imply":[142],"graphics-based":[144],"location-aware":[145],"applications,":[146],"such":[147],"MR,":[149],"benefit":[151],"from":[152],"kind":[154],"approach.":[156]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
