{"id":"https://openalex.org/W2951098793","doi":"https://doi.org/10.1145/3307650.3322274","title":"IntelliNoC","display_name":"IntelliNoC","publication_year":2019,"publication_date":"2019-06-14","ids":{"openalex":"https://openalex.org/W2951098793","doi":"https://doi.org/10.1145/3307650.3322274","mag":"2951098793"},"language":"en","primary_location":{"id":"doi:10.1145/3307650.3322274","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3307650.3322274","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3307650.3322274","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International Symposium on Computer Architecture","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3307650.3322274","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052144233","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0003-1945-6596"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Wang","raw_affiliation_strings":["George Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034189643","display_name":"Ahmed Louri","orcid":"https://orcid.org/0000-0003-4262-6688"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Louri","raw_affiliation_strings":["George Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014895124","display_name":"Avinash Karanth","orcid":"https://orcid.org/0000-0002-9472-4637"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avinash Karanth","raw_affiliation_strings":["Ohio University"],"affiliations":[{"raw_affiliation_string":"Ohio University","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020435927","display_name":"R\u0103zvan Bunescu","orcid":"https://orcid.org/0000-0003-2919-3566"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Razvan Bunescu","raw_affiliation_strings":["Ohio University"],"affiliations":[{"raw_affiliation_string":"Ohio University","institution_ids":["https://openalex.org/I4210106879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052144233"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":4.2709,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94749329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"589","last_page":"600"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9965999722480774,"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/T10083","display_name":"Graphene research and applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.7321951389312744},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.576353132724762},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5284450054168701},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5195377469062805},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5052807927131653},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4978368282318115},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.4824398458003998},{"id":"https://openalex.org/keywords/network-on-a-chip","display_name":"Network on a chip","score":0.4581238031387329},{"id":"https://openalex.org/keywords/overheating","display_name":"Overheating (electricity)","score":0.4549432098865509},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4428781569004059},{"id":"https://openalex.org/keywords/mean-time-between-failures","display_name":"Mean time between failures","score":0.416300892829895},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4116884469985962},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.28758060932159424},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.26211705803871155},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.21294626593589783},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1675322949886322},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14093270897865295},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.13810598850250244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7321951389312744},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.576353132724762},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5284450054168701},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5195377469062805},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5052807927131653},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4978368282318115},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.4824398458003998},{"id":"https://openalex.org/C128519102","wikidata":"https://www.wikidata.org/wiki/Q339554","display_name":"Network on a chip","level":2,"score":0.4581238031387329},{"id":"https://openalex.org/C2778284599","wikidata":"https://www.wikidata.org/wiki/Q25340000","display_name":"Overheating (electricity)","level":2,"score":0.4549432098865509},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4428781569004059},{"id":"https://openalex.org/C44154001","wikidata":"https://www.wikidata.org/wiki/Q754940","display_name":"Mean time between failures","level":3,"score":0.416300892829895},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4116884469985962},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.28758060932159424},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.26211705803871155},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.21294626593589783},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1675322949886322},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14093270897865295},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.13810598850250244},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307650.3322274","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3307650.3322274","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3307650.3322274","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International Symposium on Computer Architecture","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3307650.3322274","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3307650.3322274","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3307650.3322274","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International Symposium on Computer Architecture","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1407028842","display_name":null,"funder_award_id":"CCF-1540736","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2009914296","display_name":null,"funder_award_id":"CCF-1547035","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2019013684","display_name":null,"funder_award_id":"CCF-1547034","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2339225990","display_name":null,"funder_award_id":"CCF-1703013","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3019957414","display_name":null,"funder_award_id":"1547035","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4635531047","display_name":"SHF: Medium: Collaborative Research: Machine Learning Enabled Network-on-Chip Architectures for Optimized Energy, Performance and Reliability","funder_award_id":"1703013","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5350671504","display_name":null,"funder_award_id":"CCF-1420718, CCF-1513606, CCF-1703013, CCF-1547034, CCF-1547035, CCF-1540736, CCF-1702980","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6578321117","display_name":"SHF: Small: Collaborative Research: A Holistic Design Methodology for Fault-Tolerant and Robust Network-on-Chips (NoCs) Architectures","funder_award_id":"1420718","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6655623823","display_name":null,"funder_award_id":"1513606","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6693575246","display_name":"SHF: Medium: Collaborative Research: Machine Learning Enabled Network-on-Chip Architectures Optimized for Energy, Performance and Reliability","funder_award_id":"1702980","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7203528079","display_name":null,"funder_award_id":"CCF-1702980","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8043600687","display_name":null,"funder_award_id":"1547034","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951098793.pdf","grobid_xml":"https://content.openalex.org/works/W2951098793.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1974812331","https://openalex.org/W1981991312","https://openalex.org/W1991891926","https://openalex.org/W1999085092","https://openalex.org/W2004016834","https://openalex.org/W2010840089","https://openalex.org/W2023654825","https://openalex.org/W2043496087","https://openalex.org/W2048107031","https://openalex.org/W2097579272","https://openalex.org/W2100787464","https://openalex.org/W2102729267","https://openalex.org/W2104674486","https://openalex.org/W2107848407","https://openalex.org/W2114172921","https://openalex.org/W2118231264","https://openalex.org/W2121863487","https://openalex.org/W2123184444","https://openalex.org/W2129960401","https://openalex.org/W2133563079","https://openalex.org/W2134067926","https://openalex.org/W2142699925","https://openalex.org/W2148047368","https://openalex.org/W2148366314","https://openalex.org/W2149580765","https://openalex.org/W2150283124","https://openalex.org/W2153025112","https://openalex.org/W2155597158","https://openalex.org/W2155765360","https://openalex.org/W2157447136","https://openalex.org/W2160642395","https://openalex.org/W2164004001","https://openalex.org/W2166151045","https://openalex.org/W2171595125","https://openalex.org/W2529635959","https://openalex.org/W2563863648","https://openalex.org/W2605064730","https://openalex.org/W2773528081","https://openalex.org/W2808977823","https://openalex.org/W2896609748","https://openalex.org/W2910582589","https://openalex.org/W2942537621","https://openalex.org/W2945496227","https://openalex.org/W2946264351","https://openalex.org/W2969961119","https://openalex.org/W4251562993"],"related_works":["https://openalex.org/W2380377017","https://openalex.org/W1983353130","https://openalex.org/W1811598931","https://openalex.org/W1523184867","https://openalex.org/W4400370279","https://openalex.org/W3010619501","https://openalex.org/W2161995522","https://openalex.org/W2889326901","https://openalex.org/W2043881088","https://openalex.org/W2390899382"],"abstract_inverted_index":{"As":[0],"technology":[1],"scales,":[2],"Network-on-Chips":[3],"(NoCs),":[4],"currently":[5],"being":[6],"used":[7],"for":[8],"on-chip":[9],"communication":[10],"in":[11,82],"manycore":[12],"architectures,":[13],"face":[14],"several":[15],"problems":[16,30],"including":[17],"high":[18],"network":[19],"latency,":[20],"excessive":[21],"power":[22,156],"consumption,":[23],"and":[24,44,66,75,80,104,110,125,152,158,175,180,187],"low":[25],"reliability.":[26],"Simultaneously":[27],"addressing":[28],"these":[29,135],"is":[31],"proving":[32],"to":[33,37,70,97,107,122],"be":[34],"difficult":[35],"due":[36],"the":[38,41,45,72,129,146],"explosion":[39],"of":[40,47,148],"design":[42,60,73,170],"space":[43],"complexity":[46,74],"handling":[48],"many":[49],"trade-offs.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,137],"propose":[55],"IntelliNoC,":[56],"an":[57],"intelligent":[58],"NoC":[59,89,120,194],"framework":[61],"which":[62,116],"introduces":[63],"architectural":[64,90],"innovations":[65],"uses":[67],"reinforcement":[68],"learning":[69],"manage":[71],"simultaneously":[76],"optimize":[77],"performance,":[78],"energy-efficiency,":[79],"reliability":[81],"a":[83,112,139],"holistic":[84],"manner.":[85],"IntelliNoC":[86,169],"integrates":[87],"three":[88],"techniques:":[91],"(1)":[92],"multifunction":[93],"adaptive":[94,101],"channels":[95],"(MFACs)":[96],"improve":[98],"energy-efficiency;":[99],"(2)":[100],"error":[102],"detection/correction":[103],"re-transmission":[105],"control":[106,141],"enhance":[108],"reliability;":[109],"(3)":[111],"stress-relaxing":[113],"bypass":[114],"feature":[115],"dynamically":[117],"powers":[118],"off":[119],"components":[121],"prevent":[123],"overheating":[124],"fatigue.":[126],"To":[127],"handle":[128],"complex":[130],"dynamic":[131,140],"interactions":[132],"induced":[133],"by":[134,173,178,185,190],"techniques,":[136],"train":[138],"policy":[142],"using":[143,162],"Q-learning,":[144],"with":[145],"goal":[147],"providing":[149],"improved":[150],"fault-tolerance":[151],"performance":[153],"while":[154],"reducing":[155],"consumption":[157],"area":[159,188],"overhead.":[160],"Simulation":[161],"PARSEC":[163],"benchmarks":[164],"shows":[165],"that":[166],"our":[167],"proposed":[168],"improves":[171],"energy-efficiency":[172],"67%":[174],"mean-time-to-failure":[176],"(MTTF)":[177],"77%,":[179],"decreases":[181],"end-to-end":[182],"packet":[183],"latency":[184],"32%":[186],"requirements":[189],"25%":[191],"over":[192],"baseline":[193],"architecture.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-06-27T00:00:00"}