{"id":"https://openalex.org/W3165602921","doi":"https://doi.org/10.1145/3453417.3453439","title":"Contention-Aware GPU Partitioning and Task-to-Partition Allocation for Real-Time Workloads","display_name":"Contention-Aware GPU Partitioning and Task-to-Partition Allocation for Real-Time Workloads","publication_year":2021,"publication_date":"2021-04-07","ids":{"openalex":"https://openalex.org/W3165602921","doi":"https://doi.org/10.1145/3453417.3453439","mag":"3165602921"},"language":"en","primary_location":{"id":"doi:10.1145/3453417.3453439","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453417.3453439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"29th International Conference on Real-Time Networks and Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.10312","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034167087","display_name":"Houssam-Eddine Zahaf","orcid":"https://orcid.org/0000-0002-0334-9692"},"institutions":[{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Houssam-Eddine Zahaf","raw_affiliation_strings":["University of Nantes, France","University of Nantes, France;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nantes, France","institution_ids":["https://openalex.org/I97188460"]},{"raw_affiliation_string":"University of Nantes, France;","institution_ids":["https://openalex.org/I97188460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058584821","display_name":"Ignacio Sanudo Olmedo","orcid":"https://orcid.org/0000-0001-7581-6862"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ignacio Sanudo Olmedo","raw_affiliation_strings":["University of Modena and Reggio Emilia, Italy","University of Modena and Reggio-Emilia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia, Italy","institution_ids":["https://openalex.org/I122346577"]},{"raw_affiliation_string":"University of Modena and Reggio-Emilia, Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026883591","display_name":"Jayati Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayati Singh","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA","[University of Illinois at Urbana-Champaign,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[University of Illinois at Urbana-Champaign,USA]","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022843863","display_name":"Nicola Capodieci","orcid":"https://orcid.org/0000-0002-5845-4991"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Capodieci","raw_affiliation_strings":["University of Modena and Reggio Emilia, Italy","University of Modena and Reggio-Emilia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia, Italy","institution_ids":["https://openalex.org/I122346577"]},{"raw_affiliation_string":"University of Modena and Reggio-Emilia, Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040695721","display_name":"S\u00e9bastien Faucou","orcid":"https://orcid.org/0000-0002-1514-3579"},"institutions":[{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sebastien Faucou","raw_affiliation_strings":["University of Nantes, France","University of Nantes, France;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nantes, France","institution_ids":["https://openalex.org/I97188460"]},{"raw_affiliation_string":"University of Nantes, France;","institution_ids":["https://openalex.org/I97188460"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06822581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9995999932289124,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9055262804031372},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7729412913322449},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7078965902328491},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6393587589263916},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.5902146697044373},{"id":"https://openalex.org/keywords/gpu-cluster","display_name":"GPU cluster","score":0.5823736786842346},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5610285401344299},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.542687177658081},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4708898663520813},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4399811625480652},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.2160302996635437},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10914552211761475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9055262804031372},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7729412913322449},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7078965902328491},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6393587589263916},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.5902146697044373},{"id":"https://openalex.org/C2781335571","wikidata":"https://www.wikidata.org/wiki/Q2633544","display_name":"GPU cluster","level":3,"score":0.5823736786842346},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5610285401344299},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.542687177658081},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4708898663520813},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4399811625480652},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.2160302996635437},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10914552211761475},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3453417.3453439","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453417.3453439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"29th International Conference on Real-Time Networks and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.10312","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.10312","pdf_url":"https://arxiv.org/pdf/2105.10312","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:3165602921","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2105.10312.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":"pmh:oai:HAL:hal-03641750v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03641750","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"RTNS'2021: 29th International Conference on Real-Time Networks and Systems, Apr 2021, Nantes, France. pp.226-236, &#x27E8;10.1145/3453417.3453439&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2105.10312","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2105.10312","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.10312","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.10312","pdf_url":"https://arxiv.org/pdf/2105.10312","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2080592089","https://openalex.org/W2098274770","https://openalex.org/W2150851481","https://openalex.org/W2163687928","https://openalex.org/W2273440736","https://openalex.org/W2323693848","https://openalex.org/W2578491838","https://openalex.org/W2642568136","https://openalex.org/W2891285910","https://openalex.org/W2906773779","https://openalex.org/W2906843411","https://openalex.org/W2957550324","https://openalex.org/W2971447174","https://openalex.org/W2971710145","https://openalex.org/W2982163034","https://openalex.org/W2983118730","https://openalex.org/W3011377185","https://openalex.org/W3015967731","https://openalex.org/W3034539665","https://openalex.org/W3034676873","https://openalex.org/W3037807633","https://openalex.org/W4235295270"],"related_works":["https://openalex.org/W2912509813","https://openalex.org/W3116115872","https://openalex.org/W2615240023","https://openalex.org/W2533980075","https://openalex.org/W2762485337","https://openalex.org/W3153589783","https://openalex.org/W2564407003","https://openalex.org/W2049972134","https://openalex.org/W2159911284","https://openalex.org/W2156519507","https://openalex.org/W2810449665","https://openalex.org/W2885486526","https://openalex.org/W1922576887","https://openalex.org/W2156949227","https://openalex.org/W2740711480","https://openalex.org/W2768701796","https://openalex.org/W2128438553","https://openalex.org/W2768703673","https://openalex.org/W2029430412","https://openalex.org/W3090452365"],"abstract_inverted_index":{"In":[0,71],"order":[1],"to":[2,51,78,85,126],"satisfy":[3],"timing":[4,100],"constraints,":[5],"modern":[6],"real-time":[7],"applications":[8],"require":[9],"massively":[10],"parallel":[11],"accelerators":[12],"such":[13,131],"as":[14,152],"General":[15],"Purpose":[16],"Graphic":[17],"Processing":[18],"Units":[19],"(GPGPUs).":[20],"Generation":[21],"after":[22],"generation,":[23],"the":[24,59,108,128,138,141,145,150],"number":[25],"of":[26,130,140],"computing":[27,61,66],"clusters":[28,67],"made":[29],"available":[30],"in":[31,91,116],"novel":[32,76],"GPU":[33,60,65,80,95,111,151],"architectures":[34],"is":[35,43,133],"steadily":[36],"increasing,":[37],"hence,":[38],"investigating":[39],"suitable":[40,87],"scheduling":[41,47],"approaches":[42,48,143],"now":[44],"mandatory.":[45],"Such":[46,102],"are":[49,94],"related":[50],"mapping":[52],"different":[53,99],"and":[54,123],"concurrent":[55],"compute":[56,96],"kernels":[57,97,112],"within":[58],"clusters,":[62],"hence":[63],"grouping":[64],"into":[68,106],"schedulable":[69],"partitions.":[70],"this":[72,82],"paper":[73],"we":[74],"propose":[75],"techniques":[77,147],"define":[79,86],"partitions;":[81],"allows":[83],"us":[84],"task-to-partition":[88],"allocation":[89],"mechanisms":[90,103],"which":[92],"tasks":[93],"featuring":[98],"requirements.":[101],"will":[104],"take":[105],"account":[107],"interference":[109,132],"that":[110,148],"experience":[113],"when":[114],"running":[115],"overlapping":[117],"time":[118],"windows.":[119],"Hence,":[120],"an":[121],"effective":[122],"simple":[124],"way":[125],"quantify":[127],"magnitude":[129],"also":[134],"presented.":[135],"We":[136],"demonstrate":[137],"efficiency":[139],"proposed":[142],"against":[144],"classical":[146],"considered":[149],"a":[153],"single,":[154],"non-partitionable":[155],"resource.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2022-07-25T00:00:00"}
