{"id":"https://openalex.org/W7162112931","doi":"https://doi.org/10.1109/percom67906.2026.11524458","title":"Foreground Graphics-Aware Runtime DNN Scheduling on Mobile GPUs","display_name":"Foreground Graphics-Aware Runtime DNN Scheduling on Mobile GPUs","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7162112931","doi":"https://doi.org/10.1109/percom67906.2026.11524458"},"language":null,"primary_location":{"id":"doi:10.1109/percom67906.2026.11524458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom67906.2026.11524458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Pervasive Computing and Communications (PerCom)","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/A5124435398","display_name":"Minju Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minju Kang","raw_affiliation_strings":["Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136741177","display_name":"Jaeho Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeho Jin","raw_affiliation_strings":["Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136769641","display_name":"Sungmin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungmin Lee","raw_affiliation_strings":["Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136783548","display_name":"JeongGil Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JeongGil Ko","raw_affiliation_strings":["Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology, College of Computing,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.39320001006126404,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.39320001006126404,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.19220000505447388,"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"}},{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.07800000160932541,"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/scheduling","display_name":"Scheduling (production processes)","score":0.5116000175476074},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.36070001125335693},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.29159998893737793},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.26600000262260437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231000065803528},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29980000853538513},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2401999980211258}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom67906.2026.11524458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom67906.2026.11524458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5487634539604187,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2790183716","https://openalex.org/W2987144427","https://openalex.org/W3083662943","https://openalex.org/W3088076788","https://openalex.org/W3157306683","https://openalex.org/W3158714349","https://openalex.org/W3174488528","https://openalex.org/W3175647370","https://openalex.org/W4200011677","https://openalex.org/W4200404225","https://openalex.org/W4206668534","https://openalex.org/W4246193833","https://openalex.org/W4283020086","https://openalex.org/W4310723023","https://openalex.org/W4312198983","https://openalex.org/W4313855892","https://openalex.org/W4366584776","https://openalex.org/W4385245566","https://openalex.org/W4390677227","https://openalex.org/W4393171404","https://openalex.org/W4395668837","https://openalex.org/W4399323669","https://openalex.org/W4401943736","https://openalex.org/W4405364782","https://openalex.org/W4414508187","https://openalex.org/W4414538873"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"GPUSched,":[2,88],"a":[3,80],"foreground":[4,60],"graphics":[5,16,35,93,131],"aware":[6],"preemptive":[7],"scheduling":[8,25],"framework":[9],"for":[10,33],"concurrent":[11],"DNN":[12,71,90],"inference":[13,91],"and":[14,63],"seamless":[15],"rendering":[17,61,94,126],"on":[18,28,106],"mobile":[19,109],"GPUs.":[20],"Given":[21],"that":[22,112],"existing":[23],"GPU":[24,54,76,81,103],"methods":[26],"relying":[27],"offline":[29],"slicing":[30],"are":[31],"inadequate":[32],"dynamic":[34],"workloads,":[36],"GPUSched":[37,113],"is":[38],"driven":[39],"by":[40],"two":[41,107],"key":[42],"components:":[43],"(i)":[44],"Render-State":[45],"Detection":[46],"via":[47],"GPUPing,":[48],"which":[49,68],"leverages":[50],"lightweight":[51],"probing":[52],"of":[53],"queue":[55],"latency":[56],"to":[57],"accurately":[58],"identify":[59],"operations":[62],"(ii)":[64],"Adaptive":[65],"Operator":[66],"Chunking,":[67],"dynamically":[69],"fits":[70],"model":[72],"chunk":[73],"sizes":[74],"within":[75],"idle":[77],"times":[78],"in":[79,95],"frequency-aware":[82],"manner.":[83],"By":[84],"combining":[85],"these":[86],"mechanisms":[87],"coordinates":[89],"with":[92],"real":[96],"time,":[97],"preventing":[98],"deadline":[99,120],"violations":[100],"while":[101,123],"maximizing":[102],"utilization.":[104],"Experiments":[105],"commodity":[108],"devices":[110],"show":[111],"consistently":[114],"outperforms":[115],"baseline":[116],"schedulers,":[117],"achieving":[118],"lower":[119],"miss":[121],"rates":[122],"sustaining":[124],"high":[125],"quality":[127],"even":[128],"under":[129],"demanding":[130],"workload.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-23T00:00:00"}