{"id":"https://openalex.org/W4404133691","doi":"https://doi.org/10.1145/3649329.3657319","title":"A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems","display_name":"A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404133691","doi":"https://doi.org/10.1145/3649329.3657319"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3657319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649329.3657319","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3649329.3657319","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038165867","display_name":"Francesco Giulio Blanco","orcid":"https://orcid.org/0009-0003-6700-8111"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Giulio Blanco","raw_affiliation_strings":["University of Catania, Catania, Sicily, Italy"],"raw_orcid":"https://orcid.org/0009-0003-6700-8111","affiliations":[{"raw_affiliation_string":"University of Catania, Catania, Sicily, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080097744","display_name":"Enrico Russo","orcid":"https://orcid.org/0000-0002-7598-146X"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Russo","raw_affiliation_strings":["University of Catania, Catania, Sicily, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7598-146X","affiliations":[{"raw_affiliation_string":"University of Catania, Catania, Sicily, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010989172","display_name":"Maurizio Palesi","orcid":"https://orcid.org/0000-0003-3129-0664"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Palesi","raw_affiliation_strings":["University of Catania, Catania, Sicily, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3129-0664","affiliations":[{"raw_affiliation_string":"University of Catania, Catania, Sicily, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001962324","display_name":"Davide Patti","orcid":"https://orcid.org/0000-0003-0874-7793"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Patti","raw_affiliation_strings":["University of Catania, Catania, Sicily, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0874-7793","affiliations":[{"raw_affiliation_string":"University of Catania, Catania, Sicily, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054750044","display_name":"Giuseppe Ascia","orcid":"https://orcid.org/0000-0001-7452-5828"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Ascia","raw_affiliation_strings":["University of Catania, Catania, Sicily, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7452-5828","affiliations":[{"raw_affiliation_string":"University of Catania, Catania, Sicily, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101778204","display_name":"Vincenzo Catania","orcid":"https://orcid.org/0000-0002-5040-3540"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Catania","raw_affiliation_strings":["University of Catania, Catania, Sicily, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5040-3540","affiliations":[{"raw_affiliation_string":"University of Catania, Catania, Sicily, Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T13553","display_name":"Age of Information Optimization","score":0.9830999970436096,"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/T13553","display_name":"Age of Information Optimization","score":0.9830999970436096,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9815999865531921,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9797000288963318,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8646119236946106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524961829185486},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.603075385093689},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5771180987358093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5459340214729309},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4824581742286682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.421970009803772},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3590201735496521},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11278703808784485}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8646119236946106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524961829185486},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.603075385093689},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5771180987358093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5459340214729309},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4824581742286682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.421970009803772},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3590201735496521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11278703808784485},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649329.3657319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649329.3657319","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3649329.3657319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649329.3657319","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G29840918","display_name":null,"funder_award_id":"PE0000013-FAIR","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G5594451131","display_name":null,"funder_award_id":"ARS01_00592","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G689068652","display_name":null,"funder_award_id":"E63C22C)01000006","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320331528","display_name":"Ministero dell'Universit\u00e0 e della Ricerca","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1488422606","https://openalex.org/W2734941459","https://openalex.org/W2783873903","https://openalex.org/W2796625795","https://openalex.org/W2940862705","https://openalex.org/W2945146780","https://openalex.org/W2950821735","https://openalex.org/W2980104813","https://openalex.org/W3016939927","https://openalex.org/W3043406639","https://openalex.org/W3100789280","https://openalex.org/W3101026687","https://openalex.org/W3158233068","https://openalex.org/W3159535809","https://openalex.org/W4214512541","https://openalex.org/W4242336842","https://openalex.org/W4248841288","https://openalex.org/W4280489237","https://openalex.org/W4360831984","https://openalex.org/W4377695412","https://openalex.org/W6762488536","https://openalex.org/W6798686915"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128"],"abstract_inverted_index":{"Currently,":[0],"there":[1],"is":[2],"a":[3,57,114,131,150],"growing":[4],"trend":[5],"of":[6,10,46,68,79,111,119,122],"outsourcing":[7],"the":[8,44,65,76,92],"execution":[9,29],"DNNs":[11,69],"to":[12,38,113,130,139],"cloud":[13],"services.":[14],"For":[15],"service":[16,23,88],"providers,":[17],"managing":[18],"multitenancy":[19],"and":[20,81,105,124],"ensuring":[21],"high-quality":[22],"delivery,":[24],"particularly":[25],"in":[26,70,128,134],"meeting":[27],"stringent":[28],"time":[30],"constraints,":[31],"assumes":[32],"paramount":[33],"importance,":[34],"all":[35],"while":[36],"endeavoring":[37],"maintain":[39],"cost-effectiveness.":[40],"In":[41],"this":[42],"context,":[43],"utilization":[45],"heterogeneous":[47,115],"multi-accelerator":[48,116],"systems":[49],"becomes":[50],"increasingly":[51],"relevant.":[52],"This":[53],"paper":[54],"presents":[55],"RELMAS,":[56],"low-overhead":[58],"deep":[59],"reinforcement":[60],"learning":[61],"algorithm":[62],"designed":[63],"for":[64,97],"online":[66],"scheduling":[67,95,141],"multi-tenant":[71],"environments,":[72],"taking":[73],"into":[74],"account":[75],"dataflow":[77],"heterogeneity":[78],"accelerators":[80],"memory":[82],"bandwidths":[83],"contentions.":[84],"By":[85],"doing":[86],"so,":[87],"providers":[89],"can":[90],"employ":[91],"most":[93],"efficient":[94],"policy":[96],"user":[98],"requests,":[99],"optimizing":[100],"Service-Level-Agreement":[101],"(SLA)":[102],"satisfaction":[103,136],"rates":[104],"enhancing":[106],"hardware":[107],"utilization.":[108],"The":[109],"application":[110],"RELMAS":[112],"system":[117],"composed":[118],"various":[120],"instances":[121],"Simba":[123],"Eyeriss":[125],"sub-accelerators":[126],"resulted":[127],"up":[129],"173%":[132],"improvement":[133],"SLA":[135],"rate":[137],"compared":[138],"state-of-the-art":[140],"techniques":[142],"across":[143],"different":[144],"workload":[145],"scenarios,":[146],"with":[147],"less":[148],"than":[149],"1.5%":[151],"energy":[152],"overhead.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
