{"id":"https://openalex.org/W4366087526","doi":"https://doi.org/10.1145/3591470","title":"Machine Learning Enabled Solutions for Design and Optimization Challenges in Networks-on-Chip based Multi/Many-Core Architectures","display_name":"Machine Learning Enabled Solutions for Design and Optimization Challenges in Networks-on-Chip based Multi/Many-Core Architectures","publication_year":2023,"publication_date":"2023-04-17","ids":{"openalex":"https://openalex.org/W4366087526","doi":"https://doi.org/10.1145/3591470"},"language":"en","primary_location":{"id":"doi:10.1145/3591470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591470","pdf_url":null,"source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-article"},"type":"article","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/A5022968292","display_name":"Md Farhadur Reza","orcid":"https://orcid.org/0000-0002-2978-6671"},"institutions":[{"id":"https://openalex.org/I153871386","display_name":"Eastern Illinois University","ror":"https://ror.org/035z2ew45","country_code":"US","type":"education","lineage":["https://openalex.org/I153871386"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Farhadur Reza","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eastern Illinois University, USA"],"raw_orcid":"https://orcid.org/0000-0002-2978-6671","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eastern Illinois University, USA","institution_ids":["https://openalex.org/I153871386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022968292"],"corresponding_institution_ids":["https://openalex.org/I153871386"],"apc_list":null,"apc_paid":null,"fwci":2.4971,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8959178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9998999834060669,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9998999834060669,"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/T10018","display_name":"Advancements in Battery Materials","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6569072008132935},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6519123315811157},{"id":"https://openalex.org/keywords/network-on-a-chip","display_name":"Network on a chip","score":0.5409366488456726},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.5164647102355957},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5139309763908386},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.49252423644065857},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4625512957572937},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4174138903617859},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.411862850189209},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.39098507165908813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3480679988861084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32662415504455566},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22731703519821167},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.16550511121749878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569072008132935},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6519123315811157},{"id":"https://openalex.org/C128519102","wikidata":"https://www.wikidata.org/wiki/Q339554","display_name":"Network on a chip","level":2,"score":0.5409366488456726},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.5164647102355957},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5139309763908386},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.49252423644065857},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4625512957572937},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4174138903617859},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.411862850189209},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.39098507165908813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3480679988861084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32662415504455566},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22731703519821167},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.16550511121749878},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3591470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591470","pdf_url":null,"source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W387539198","https://openalex.org/W1486852605","https://openalex.org/W1501077214","https://openalex.org/W1964963116","https://openalex.org/W1979928127","https://openalex.org/W1983590135","https://openalex.org/W1985818188","https://openalex.org/W1991979825","https://openalex.org/W1999085092","https://openalex.org/W2010840089","https://openalex.org/W2015102462","https://openalex.org/W2036676308","https://openalex.org/W2038509324","https://openalex.org/W2048706569","https://openalex.org/W2064818026","https://openalex.org/W2077014041","https://openalex.org/W2078140790","https://openalex.org/W2095858451","https://openalex.org/W2098156582","https://openalex.org/W2098335003","https://openalex.org/W2103839010","https://openalex.org/W2114053923","https://openalex.org/W2118961575","https://openalex.org/W2120244357","https://openalex.org/W2121264877","https://openalex.org/W2125169487","https://openalex.org/W2125263803","https://openalex.org/W2132321891","https://openalex.org/W2132729131","https://openalex.org/W2135933214","https://openalex.org/W2140130374","https://openalex.org/W2147657366","https://openalex.org/W2163975534","https://openalex.org/W2165576183","https://openalex.org/W2169035511","https://openalex.org/W2171825402","https://openalex.org/W2172212694","https://openalex.org/W2255788751","https://openalex.org/W2527193322","https://openalex.org/W2547515966","https://openalex.org/W2588467645","https://openalex.org/W2614974481","https://openalex.org/W2625223005","https://openalex.org/W2783454406","https://openalex.org/W2803419415","https://openalex.org/W2896609748","https://openalex.org/W2913060349","https://openalex.org/W2919372546","https://openalex.org/W2946264351","https://openalex.org/W2951098793","https://openalex.org/W2963681519","https://openalex.org/W2999516464","https://openalex.org/W3140261852","https://openalex.org/W3169463464","https://openalex.org/W3208229946","https://openalex.org/W3213437856","https://openalex.org/W4214626551","https://openalex.org/W4229831042","https://openalex.org/W4230728285","https://openalex.org/W4243278180","https://openalex.org/W4244034697","https://openalex.org/W4244675783","https://openalex.org/W4245160202","https://openalex.org/W4285177359","https://openalex.org/W4301352251"],"related_works":["https://openalex.org/W2264746079","https://openalex.org/W2019683599","https://openalex.org/W1987160526","https://openalex.org/W2111062328","https://openalex.org/W121182129","https://openalex.org/W3023876411","https://openalex.org/W123152114","https://openalex.org/W1994609733","https://openalex.org/W2075808029","https://openalex.org/W4863605"],"abstract_inverted_index":{"Due":[0,35],"to":[1,36,51,75,110,140,166,214,230,251],"the":[2,21,37,43,64,70,114,119,122,137,151,186,195,221],"advancement":[3],"of":[4,15,30,39,45,63,84,121,153,240],"transistor":[5],"technology,":[6],"a":[7,78,161,175],"single":[8],"chip":[9],"processor":[10],"can":[11,129],"now":[12],"have":[13,248],"hundreds":[14],"cores.":[16],"Network-on-Chip":[17],"(NoC)":[18],"has":[19],"been":[20,249],"superior":[22],"interconnect":[23],"fabric":[24],"for":[25,81],"multi/many-core":[26,60,246],"on-chip":[27],"systems":[28],"because":[29],"its":[31,142],"scalability":[32],"and":[33,55,66,112,124,135,147,156,159,173,178,200,207,227],"parallelism.":[34],"rise":[38],"dark":[40],"silicon":[41],"with":[42],"end":[44],"Dennard":[46],"Scaling,":[47],"it":[48],"becomes":[49,73],"essential":[50],"design":[52,68,111,155,177,199],"energy":[53,209],"efficient":[54],"high":[56],"performance":[57,204],"heterogeneous":[58],"NoC-based":[59],"architectures.":[61],"Because":[62],"large":[65],"complex":[67],"space,":[69],"solution":[71,180,202,219,223],"space":[72],"difficult":[74],"explore":[76,106],"within":[77],"reasonable":[79],"time":[80],"optimal":[82],"trade-offs":[83],"energy-performance-reliability.":[85],"Furthermore,":[86],"reactive":[87],"resource":[88,157],"management":[89,158],"is":[90],"not":[91],"effective":[92],"in":[93,98,102,245],"preventing":[94],"problems":[95],"from":[96,132],"happening":[97],"adaptive":[99],"systems.":[100],"Therefore,":[101],"this":[103],"work,":[104],"we":[105],"machine":[107,163,188,233,241],"learning":[108,120,128,164,189,242],"techniques":[109],"configure":[113],"NoC":[115,138,154,176,225,235,247],"resources":[116],"based":[117],"on":[118,144],"system":[123],"applications":[125],"workloads.":[126],"Machine":[127],"automatically":[130],"learn":[131],"past":[133],"experiences":[134],"guide":[136,252],"intelligently":[139],"achieve":[141],"objective":[143],"performance,":[145],"power,":[146],"reliability.":[148],"We":[149,171],"present":[150],"challenges":[152,239],"propose":[160,172],"generalized":[162,187],"framework":[165],"uncover":[167],"near-optimal":[168],"solutions":[169],"quickly.":[170],"implement":[174],"optimization":[179,201,236],"enabled":[181],"by":[182,205,211],"neural":[183,197],"networks,":[184],"using":[185],"framework.":[190],"Simulation":[191],"results":[192],"demonstrated":[193],"that":[194],"proposed":[196,222],"networks-based":[198],"improves":[203,224],"15%":[206],"reduces":[208],"consumption":[210],"6%":[212],"compared":[213,229],"an":[215],"existing":[216,232],"non-machine":[217],"learning-based":[218,234],"while":[220],"latency":[226],"throughput":[228],"two":[231],"solutions.":[237],"The":[238],"technique":[243],"adaptation":[244],"presented":[250],"future":[253],"research.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}