{"id":"https://openalex.org/W3188506310","doi":"https://doi.org/10.1109/socc49529.2020.9524799","title":"Improving the Performance of a NoC-based CNN Accelerator with Gather Support","display_name":"Improving the Performance of a NoC-based CNN Accelerator with Gather Support","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3188506310","doi":"https://doi.org/10.1109/socc49529.2020.9524799","mag":"3188506310"},"language":"en","primary_location":{"id":"doi:10.1109/socc49529.2020.9524799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc49529.2020.9524799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 33rd International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.02567","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089132491","display_name":"Binayak Tiwari","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Binayak Tiwari","raw_affiliation_strings":["University of Nevada, Las Vegas, USA","University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]},{"raw_affiliation_string":"University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029144194","display_name":"Mei Yang","orcid":"https://orcid.org/0000-0002-9510-1079"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei Yang","raw_affiliation_strings":["University of Nevada, Las Vegas, USA","University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]},{"raw_affiliation_string":"University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045326324","display_name":"Xiaohang Wang","orcid":"https://orcid.org/0000-0002-2263-5643"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohang Wang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China","South China University of Technology School of Software Engineering Guangzhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Technology School of Software Engineering Guangzhou China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069124655","display_name":"Yingtao Jiang","orcid":"https://orcid.org/0000-0001-7453-9365"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingtao Jiang","raw_affiliation_strings":["University of Nevada, Las Vegas, USA","University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]},{"raw_affiliation_string":"University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069307987","display_name":"Venkatesan Muthukumar","orcid":"https://orcid.org/0000-0001-5357-5500"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkatesan Muthukumar","raw_affiliation_strings":["University of Nevada, Las Vegas, USA","University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]},{"raw_affiliation_string":"University of Nevada, Department of Electrical and Computer Engineering, Las Vegas, USA","institution_ids":["https://openalex.org/I133999245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"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":0.8447529077529907},{"id":"https://openalex.org/keywords/unicast","display_name":"Unicast","score":0.8164752721786499},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6318647861480713},{"id":"https://openalex.org/keywords/multicast","display_name":"Multicast","score":0.6156334280967712},{"id":"https://openalex.org/keywords/network-on-a-chip","display_name":"Network on a chip","score":0.5072819590568542},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5040813684463501},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48016470670700073},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.46589696407318115},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.44759777188301086},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.391154944896698},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32534259557724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1611410677433014},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1322363317012787},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12886539101600647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447529077529907},{"id":"https://openalex.org/C11704745","wikidata":"https://www.wikidata.org/wiki/Q918337","display_name":"Unicast","level":3,"score":0.8164752721786499},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6318647861480713},{"id":"https://openalex.org/C32295351","wikidata":"https://www.wikidata.org/wiki/Q899288","display_name":"Multicast","level":2,"score":0.6156334280967712},{"id":"https://openalex.org/C128519102","wikidata":"https://www.wikidata.org/wiki/Q339554","display_name":"Network on a chip","level":2,"score":0.5072819590568542},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5040813684463501},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48016470670700073},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46589696407318115},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.44759777188301086},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.391154944896698},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32534259557724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1611410677433014},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1322363317012787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12886539101600647}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/socc49529.2020.9524799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc49529.2020.9524799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 33rd International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.02567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.02567","pdf_url":"https://arxiv.org/pdf/2108.02567","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3188506310","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2108.02567","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2108.02567","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.02567","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.02567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.02567","pdf_url":"https://arxiv.org/pdf/2108.02567","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3188506310.pdf","grobid_xml":"https://content.openalex.org/works/W3188506310.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1598866093","https://openalex.org/W1990505905","https://openalex.org/W2017369466","https://openalex.org/W2022705085","https://openalex.org/W2047641114","https://openalex.org/W2048266589","https://openalex.org/W2123184444","https://openalex.org/W2169875292","https://openalex.org/W2276486856","https://openalex.org/W2442974303","https://openalex.org/W2756031739","https://openalex.org/W2792402981","https://openalex.org/W2898991192","https://openalex.org/W2962835968","https://openalex.org/W2970971581","https://openalex.org/W2976097345","https://openalex.org/W2976973312","https://openalex.org/W4255992566","https://openalex.org/W4293159304","https://openalex.org/W6635810480","https://openalex.org/W6637373629","https://openalex.org/W6756017813","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W3196742879","https://openalex.org/W2017001196","https://openalex.org/W3005888991","https://openalex.org/W2284112385","https://openalex.org/W3171313724","https://openalex.org/W2553099181","https://openalex.org/W2522480640","https://openalex.org/W2032770447","https://openalex.org/W2756031739","https://openalex.org/W2972216581","https://openalex.org/W2797410872","https://openalex.org/W2889050294","https://openalex.org/W2043282057","https://openalex.org/W2792402981","https://openalex.org/W1602687461","https://openalex.org/W2915784018","https://openalex.org/W3083575402","https://openalex.org/W2035359723","https://openalex.org/W3160451132","https://openalex.org/W2182119566"],"abstract_inverted_index":{"The":[0,41,106],"increasing":[1],"application":[2],"of":[3,103,136],"deep":[4],"learning":[5],"technology":[6],"drives":[7],"the":[8,34,38,55,90,111,114,120,128,133,143,148],"need":[9],"for":[10,16,58],"an":[11,80],"efficient":[12,81],"parallel":[13],"computing":[14],"architecture":[15],"Convolutional":[17],"Neural":[18],"Networks":[19],"(CNNs).":[20],"A":[21],"significant":[22],"challenge":[23],"faced":[24],"when":[25],"designing":[26],"a":[27],"many-core":[28],"CNN":[29,42],"accelerator":[30],"is":[31,75,78,125],"to":[32,49,88,119],"handle":[33],"data":[35,112],"movement":[36],"between":[37],"processing":[39],"elements.":[40],"workload":[43],"introduces":[44],"many-to-one":[45,71,104],"traffic":[46,129],"in":[47,101,142],"addition":[48],"one-to-one":[50],"and":[51,67,138,145],"one-to-many":[52],"traffic.":[53,69,105],"As":[54],"de-facto":[56],"standard":[57],"on-chip":[59],"communication,":[60],"Network-on-Chip":[61],"(NoC)":[62],"can":[63],"support":[64,102],"various":[65],"unicast":[66,74,150],"multicast":[68],"For":[70],"traffic,":[72],"repetitive":[73,149],"employed":[76],"which":[77],"not":[79],"way.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86],"propose":[87],"use":[89],"gather":[91,107],"packet":[92,108],"on":[93],"mesh-based":[94],"NoCs":[95],"employing":[96],"output":[97],"stationary":[98],"systolic":[99],"array":[100],"will":[109],"collect":[110],"from":[113,132],"intermediate":[115],"nodes":[116],"eventually":[117],"leading":[118],"destination":[121],"efficiently.":[122],"This":[123],"method":[124],"evaluated":[126],"using":[127],"traces":[130],"generated":[131],"convolution":[134],"layer":[135],"AlexNet":[137],"VGG-16":[139],"with":[140],"improvement":[141],"latency":[144],"power":[146],"than":[147],"method.":[151]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}