{"id":"https://openalex.org/W4393405208","doi":"https://doi.org/10.1109/tetci.2024.3379165","title":"Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems","display_name":"Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems","publication_year":2024,"publication_date":"2024-04-02","ids":{"openalex":"https://openalex.org/W4393405208","doi":"https://doi.org/10.1109/tetci.2024.3379165"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3379165","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tetci.2024.3379165","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","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/A5078922746","display_name":"Yukuan Yang","orcid":"https://orcid.org/0000-0002-1358-4012"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukuan Yang","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1358-4012","affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113157760","display_name":"Qihang Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Fan","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035772408","display_name":"Tianyi Yan","orcid":"https://orcid.org/0000-0002-2674-4134"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Yan","raw_affiliation_strings":["School of Life Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2674-4134","affiliations":[{"raw_affiliation_string":"School of Life Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017541431","display_name":"Jing Pei","orcid":"https://orcid.org/0000-0003-2340-0616"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Pei","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2340-0616","affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018970859","display_name":"Guoqi Li","orcid":"https://orcid.org/0000-0002-8994-431X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqi Li","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8994-431X","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078922746"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02749564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"6","first_page":"3966","last_page":"3981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9904000163078308,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9904000163078308,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9846000075340271,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7775303721427917},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.689274787902832},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6877418160438538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5051797032356262},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4832199811935425},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.46232345700263977},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4507647454738617},{"id":"https://openalex.org/keywords/many-core","display_name":"Many core","score":0.43783169984817505},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3717518448829651},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3410486578941345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17068934440612793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11870047450065613},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11608386039733887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1037866473197937},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.04977923631668091}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7775303721427917},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.689274787902832},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6877418160438538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5051797032356262},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4832199811935425},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.46232345700263977},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4507647454738617},{"id":"https://openalex.org/C3020431745","wikidata":"https://www.wikidata.org/wiki/Q25325220","display_name":"Many core","level":2,"score":0.43783169984817505},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3717518448829651},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3410486578941345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17068934440612793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11870047450065613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11608386039733887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1037866473197937},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.04977923631668091}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3379165","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tetci.2024.3379165","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G124397460","display_name":null,"funder_award_id":"62236009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G167636175","display_name":null,"funder_award_id":"62325603","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G4758827337","display_name":null,"funder_award_id":"62306305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6683772492","display_name":null,"funder_award_id":"U22A20103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1604973310","https://openalex.org/W2019633605","https://openalex.org/W2048266589","https://openalex.org/W2067523571","https://openalex.org/W2091432990","https://openalex.org/W2102397476","https://openalex.org/W2108883166","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2470673105","https://openalex.org/W2606722458","https://openalex.org/W2751543632","https://openalex.org/W2892614179","https://openalex.org/W2904125685","https://openalex.org/W2944996566","https://openalex.org/W2963358710","https://openalex.org/W2964053787","https://openalex.org/W2966081953","https://openalex.org/W2980104813","https://openalex.org/W3093388624","https://openalex.org/W3094031577","https://openalex.org/W3127429023","https://openalex.org/W3130554079","https://openalex.org/W3163465952","https://openalex.org/W3191283164","https://openalex.org/W3205101169","https://openalex.org/W4243634256","https://openalex.org/W4243734861","https://openalex.org/W4253012315","https://openalex.org/W4282927077","https://openalex.org/W4393145114","https://openalex.org/W6681686951","https://openalex.org/W6704559304"],"related_works":["https://openalex.org/W4255057712","https://openalex.org/W4251458280","https://openalex.org/W2512412909","https://openalex.org/W1547865754","https://openalex.org/W2126398188","https://openalex.org/W2116570023","https://openalex.org/W4210605172","https://openalex.org/W2127157145","https://openalex.org/W4245707462","https://openalex.org/W4248999141"],"abstract_inverted_index":{"Neuromorphic":[0],"chips":[1,20,37],"with":[2,241,266,282],"multi-core":[3,98],"architecture":[4],"are":[5,53],"considered":[6],"to":[7,35,68,140,150,173,304,307],"be":[8],"of":[9,16,22,25,71,96,114,177,190],"great":[10],"potential":[11],"for":[12,128,186,300],"the":[13,23,26,48,65,69,83,88,94,109,119,129,142,153,157,175,178,187,193,200,212,253,260,289,298],"next":[14],"generation":[15],"artificial":[17],"intelligence":[18],"(AI)":[19],"because":[21],"avoidance":[24],"memory":[27,231],"wall":[28],"effect.":[29],"Deploying":[30],"deep":[31],"neural":[32],"networks":[33],"(DNNs)":[34],"these":[36,105],"requires":[38],"two":[39],"stages,":[40],"namely,":[41],"network":[42,49,62,120,136,202],"partition":[43,122,138,204,215],"and":[44,99,111,132,205,233,237,248,271,276,292],"core":[45,66,158,179,206,224,255,284],"placement.":[46],"For":[47,64],"partition,":[50],"existing":[51,242],"schemes":[52,208,244],"mostly":[54],"manual":[55,243],"or":[56],"only":[57],"focus":[58],"on":[59,259],"single-layer,":[60],"small-scale":[61],"partitions.":[63],"placement,":[67],"best":[70],"our":[72],"knowledge,":[73],"there":[74],"is":[75,148,171,196],"still":[76],"no":[77],"work":[78,296],"that":[79,107],"has":[80],"completely":[81,151],"solved":[82],"communication":[84,236],"deadlock":[85,154,287],"problem":[86,123,127,155],"at":[87],"clock-level":[89,145],"which":[90],"commonly":[91],"exists":[92],"in":[93,192,223,230,245,279,288],"applications":[95],"neuromorphic":[97],"multi-chip":[100,146],"(NMCMC)":[101],"systems.":[102],"To":[103],"address":[104],"issues":[106],"affect":[108],"operating":[110],"deployment":[112,189],"efficiency":[113,176,265],"NMCMC":[115,194,302],"systems,":[116],"we":[117],"formulate":[118],"group":[121,137,203,214],"as":[124],"an":[125,183],"optimization":[126,160,257,269],"first":[130],"time":[131],"propose":[133],"a":[134,164],"search-based":[135],"scheme":[139,216],"solve":[141],"problem.":[143],"A":[144],"simulator":[147],"established":[149],"avoid":[152],"during":[156],"placement":[159,180,207,256,285],"process.":[161],"What's":[162],"more,":[163],"region":[165],"constrained":[166],"simulated":[167],"annealing":[168],"(RCSA)":[169],"algorithm":[170,262],"proposed":[172,201,213,254],"improve":[174],"optimization.":[181],"Finally,":[182],"automated":[184],"toolchain":[185],"efficient":[188],"DNNs":[191],"systems":[195,303],"developed":[197],"by":[198],"integrating":[199],"together.":[209],"Experiments":[210],"show":[211],"can":[217,272],"achieve":[218],"22.25%,":[219],"17.77%,":[220],"14.80%":[221],"less":[222],"number,":[225],"9.44%,":[226],"7.96%,":[227],"5.16%":[228],"improvements":[229],"utilization,":[232],"more":[234,309],"balanced":[235],"computation":[238],"loads":[239],"compared":[240,281],"ResNet-18,":[246,290],"ResNet-34,":[247,291],"ResNet-50,":[249],"respectively.":[250],"In":[251],"addition,":[252],"based":[258],"RCSA":[261],"shows":[263],"higher":[264,278],"much":[267],"fewer":[268],"steps":[270],"realize":[273],"9.52%,":[274],"11.91%,":[275],"27.52%":[277],"throughput":[280],"sequential":[283],"without":[286],"ResNet-50":[293],"networks.":[294],"This":[295],"paves":[297],"way":[299],"applying":[301],"real-world":[305],"scenarios":[306],"reach":[308],"powerful":[310],"machine":[311],"intelligence.":[312]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
