{"id":"https://openalex.org/W4403279026","doi":"https://doi.org/10.1109/sbcci62366.2024.10703980","title":"Enhancing Manycore Lifetime Through Reinforcement Learning Task Mapping and Migration","display_name":"Enhancing Manycore Lifetime Through Reinforcement Learning Task Mapping and Migration","publication_year":2024,"publication_date":"2024-09-02","ids":{"openalex":"https://openalex.org/W4403279026","doi":"https://doi.org/10.1109/sbcci62366.2024.10703980"},"language":"en","primary_location":{"id":"doi:10.1109/sbcci62366.2024.10703980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbcci62366.2024.10703980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SBC/SBMicro/IEEE Symposium on Integrated Circuits and Systems Design (SBCCI)","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/A5031923051","display_name":"Ia\u00e7an\u00e3 Ianiski Weber","orcid":null},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ia\u00e7an\u00e3 Ianiski Weber","raw_affiliation_strings":["Pontifical Catholic University of Rio Grande do Sul – PUCRS,School of Technology,Porto Alegre,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Rio Grande do Sul – PUCRS,School of Technology,Porto Alegre,Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082852293","display_name":"Vitor Balbinot Zanini","orcid":null},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vitor Balbinot Zanini","raw_affiliation_strings":["Pontifical Catholic University of Rio Grande do Sul – PUCRS,School of Technology,Porto Alegre,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Rio Grande do Sul – PUCRS,School of Technology,Porto Alegre,Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106634368","display_name":"Fernando Gehm Moraes","orcid":null},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando Gehm Moraes","raw_affiliation_strings":["Pontifical Catholic University of Rio Grande do Sul – PUCRS,School of Technology,Porto Alegre,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Rio Grande do Sul – PUCRS,School of Technology,Porto Alegre,Brazil","institution_ids":["https://openalex.org/I45643870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45643870"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3037000000476837,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.3037000000476837,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7659100294113159},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.765705943107605},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7029721140861511},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4424174726009369},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3917556405067444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22450360655784607},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09880220890045166},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07730364799499512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659100294113159},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.765705943107605},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7029721140861511},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4424174726009369},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3917556405067444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22450360655784607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09880220890045166},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07730364799499512}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbcci62366.2024.10703980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbcci62366.2024.10703980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SBC/SBMicro/IEEE Symposium on Integrated Circuits and Systems Design (SBCCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322502","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Rio Grande do Sul","ror":"https://ror.org/05k49za97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W2096875061","https://openalex.org/W2914286321","https://openalex.org/W2977586595","https://openalex.org/W2979021468","https://openalex.org/W2983813264","https://openalex.org/W3038851368","https://openalex.org/W3086822033","https://openalex.org/W3148444620","https://openalex.org/W4221095969","https://openalex.org/W4224232484","https://openalex.org/W4312798300","https://openalex.org/W4362650413","https://openalex.org/W4387901954","https://openalex.org/W4388966934","https://openalex.org/W6676521289","https://openalex.org/W6722360802","https://openalex.org/W6725126107","https://openalex.org/W6730916249","https://openalex.org/W6752463442","https://openalex.org/W6766366665","https://openalex.org/W7047909693"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"Manycore":[0],"systems":[1,26,144],"emerged":[2],"as":[3],"a":[4,53,84,136],"solution":[5],"to":[6,27,74,101],"the":[7,33,46,102,126,147],"limitations":[8],"of":[9],"single-core":[10],"processors":[11],"in":[12,24,99,142],"meeting":[13],"modern":[14],"computational":[15,29],"demands.":[16],"Effective":[17],"task":[18,60,96,103,140],"mapping":[19,61,77,104],"and":[20,55,62,78,105,124,145],"migration":[21],"are":[22],"essential":[23],"these":[25],"optimize":[28,75],"performance":[30],"without":[31],"exceeding":[32],"Thermal":[34],"Design":[35],"Power":[36],"(TDP)":[37],"constraints.":[38],"Additionally,":[39],"temperature":[40],"management":[41,141],"is":[42,88],"crucial":[43],"for":[44,58,139,149],"ensuring":[45],"system\u2019s":[47,127],"long-term":[48],"reliability.":[49],"This":[50,133],"research":[51],"proposes":[52],"lightweight":[54],"scalable":[56],"heuristic":[57],"reliability-aware":[59],"migration.":[63,79],"Our":[64,117],"approach":[65],"employs":[66],"machine":[67],"learning":[68],"techniques,":[69],"specifically":[70],"Reinforcement":[71],"Learning":[72],"(RL),":[73],"system":[76,154],"The":[80,92],"proposed":[81,118],"method":[82,119],"utilizes":[83],"lookup":[85],"table,":[86],"which":[87],"pre-trained":[89],"using":[90],"Q-learning.":[91],"pre-training":[93],"enables":[94],"dynamic":[95],"distribution":[97],"adjustments":[98],"response":[100],"their":[106],"power":[107],"consumption.":[108],"Experimental":[109],"results":[110],"demonstrate":[111],"that":[112],"it":[113],"outperforms":[114],"other":[115],"strategies.":[116],"effectively":[120],"manages":[121],"peak":[122],"temperatures":[123],"improves":[125],"Mean":[128],"Time":[129],"To":[130],"Failure":[131],"(MTTF).":[132],"study":[134],"provides":[135],"robust":[137],"framework":[138],"manycore":[143],"sets":[146],"groundwork":[148],"future":[150],"explorations":[151],"into":[152],"autonomous":[153],"optimization.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}