{"id":"https://openalex.org/W2443530087","doi":"https://doi.org/10.1109/tetc.2016.2579605","title":"Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms","display_name":"Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms","publication_year":2016,"publication_date":"2016-06-15","ids":{"openalex":"https://openalex.org/W2443530087","doi":"https://doi.org/10.1109/tetc.2016.2579605","mag":"2443530087"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2016.2579605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2016.2579605","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"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 Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.polito.it/bitstream/11583/2644604/2/document_pre-print.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011857762","display_name":"Gianvito Urgese","orcid":"https://orcid.org/0000-0003-2672-7593"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gianvito Urgese","raw_affiliation_strings":["Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022195134","display_name":"Francesco Barchi","orcid":"https://orcid.org/0000-0001-5155-6883"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Barchi","raw_affiliation_strings":["Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005432629","display_name":"Enrico Macii","orcid":"https://orcid.org/0000-0001-9046-5618"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Macii","raw_affiliation_strings":["Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031653904","display_name":"Andrea Acquaviva","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Acquaviva","raw_affiliation_strings":["Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Control and Computer Engineering\u2014DAUIN, Politecnico di Torino, Torino, TO, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011857762"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":2.9867,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.916331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"317","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8906292915344238},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.8764641284942627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8345818519592285},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.826219916343689},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5896515250205994},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5866118669509888},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5011835098266602},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4950339198112488},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.47697123885154724},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3950514495372772},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.32600778341293335},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19136473536491394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18492862582206726},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08452939987182617}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8906292915344238},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.8764641284942627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345818519592285},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.826219916343689},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5896515250205994},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5866118669509888},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5011835098266602},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4950339198112488},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.47697123885154724},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3950514495372772},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.32600778341293335},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19136473536491394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18492862582206726},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08452939987182617},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tetc.2016.2579605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2016.2579605","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"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 Computing","raw_type":"journal-article"},{"id":"pmh:oai:porto.polito.it:2644604","is_oa":true,"landing_page_url":"http://porto.polito.it/2644604/","pdf_url":"https://iris.polito.it/bitstream/11583/2644604/2/document_pre-print.pdf","source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:2168-6750","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:cris.unibo.it:11585/862329","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/862329","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:porto.polito.it:2644604","is_oa":true,"landing_page_url":"http://porto.polito.it/2644604/","pdf_url":"https://iris.polito.it/bitstream/11583/2644604/2/document_pre-print.pdf","source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:2168-6750","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1816994784","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320333065","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320333065","display_name":"Seventh Framework Programme","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2443530087.pdf","grobid_xml":"https://content.openalex.org/works/W2443530087.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W101771737","https://openalex.org/W581518716","https://openalex.org/W1893613962","https://openalex.org/W1967294650","https://openalex.org/W1968165099","https://openalex.org/W1992962224","https://openalex.org/W2006370340","https://openalex.org/W2016708835","https://openalex.org/W2018910089","https://openalex.org/W2065125569","https://openalex.org/W2069992656","https://openalex.org/W2075900721","https://openalex.org/W2076964542","https://openalex.org/W2087058693","https://openalex.org/W2098458456","https://openalex.org/W2108148142","https://openalex.org/W2120451785","https://openalex.org/W2121752492","https://openalex.org/W2129328582","https://openalex.org/W2132914434","https://openalex.org/W2134312057","https://openalex.org/W2140886546","https://openalex.org/W2150691142","https://openalex.org/W2153041354","https://openalex.org/W2153113253","https://openalex.org/W2159951683","https://openalex.org/W2163288878","https://openalex.org/W2164653071","https://openalex.org/W2169688337","https://openalex.org/W4256306498","https://openalex.org/W6666957597"],"related_works":["https://openalex.org/W2756276189","https://openalex.org/W3089892344","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W4312992603","https://openalex.org/W4288055417","https://openalex.org/W4287758233","https://openalex.org/W2960220682","https://openalex.org/W4205804651"],"abstract_inverted_index":{"In":[0],"this":[1,110],"paper":[2],"we":[3],"present":[4],"a":[5,101,125],"new":[6,168],"Partitioning":[7],"and":[8,33,67,79,90,123,128,135,145,189],"Placement":[9],"methodology":[10,22,114],"able":[11],"to":[12,56,64,118,176,184],"maps":[13],"Spiking":[14,26],"Neural":[15,27],"Network":[16,28],"on":[17,31],"parallel":[18,65],"neuromorphic":[19],"platforms.":[20,36],"This":[21],"improves":[23],"scalability/reliability":[24,192],"of":[25,74,85,97,147,156],"(SNN)":[29],"simulations":[30],"many-core":[32],"densely":[34],"interconnected":[35],"SNNs":[37],"mimic":[38],"brain":[39],"activity":[40,84],"by":[41,166],"emulating":[42],"spikes":[43,68],"sent":[44,70],"between":[45],"neuron":[46,86,196],"populations.":[47],"Many-core":[48],"platforms":[49],"are":[50,62,69],"emerging":[51],"computing":[52],"targets":[53],"that":[54,103,170,180],"aim":[55],"achieve":[57],"real-time":[58],"SNN":[59,117,126,142],"simulations.":[60],"Neurons":[61],"mapped":[63],"cores,":[66],"in":[71],"the":[72,77,83,112,120,148,167],"form":[73],"packets":[75],"over":[76],"on-chip":[78,134],"off-chip":[80,136],"network.":[81],"However,":[82],"populations":[87],"is":[88,100,182],"heterogeneous":[89],"complex.":[91],"Thus,":[92],"achieving":[93],"an":[94,194],"efficient":[95],"exploitation":[96],"platform":[98],"resources":[99],"challenge":[102],"often":[104],"affects":[105],"simulation":[106,191],"scalability/reliability.":[107],"To":[108],"address":[109],"challenge,":[111],"proposed":[113],"uses":[115],"customised":[116],"profile":[119],"board":[121],"bottlenecks":[122],"implements":[124],"partitioning":[127],"placement":[129],"(SNN-PP)":[130],"algorithm":[131,151],"for":[132,171],"improving":[133],"communication":[137],"efficiency.":[138],"The":[139],"cortical":[140],"microcircuit":[141],"was":[143],"simulated":[144],"performances":[146,155],"developed":[149],"SNN-PP":[150],"were":[152],"compared":[153],"with":[154,193],"standard":[157],"methods.":[158],"These":[159],"comparisons":[160],"showed":[161],"significant":[162],"traffic":[163,188],"reduction":[164],"produced":[165],"method,":[169],"some":[172],"configurations":[173],"reached":[174],"up":[175],"96X.":[177],"Results":[178],"demonstrate":[179],"it":[181],"possible":[183],"consistently":[185],"reduce":[186],"packet":[187],"improve":[190],"effective":[195],"placement.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
