{"id":"https://openalex.org/W4382652375","doi":"https://doi.org/10.1587/transinf.2022edp7175","title":"Parallel Implementation of CNN on Multi-FPGA Cluster","display_name":"Parallel Implementation of CNN on Multi-FPGA Cluster","publication_year":2023,"publication_date":"2023-06-30","ids":{"openalex":"https://openalex.org/W4382652375","doi":"https://doi.org/10.1587/transinf.2022edp7175"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2022edp7175","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7175","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/7/E106.D_2022EDP7175/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/7/E106.D_2022EDP7175/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078364671","display_name":"Yasuyu Fukushima","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuyu FUKUSHIMA","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062174973","display_name":"Kensuke Iizuka","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensuke IIZUKA","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113742339","display_name":"Hideharu Amano","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideharu AMANO","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.8418,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70489161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"E106.D","issue":"7","first_page":"1198","last_page":"1208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9994999766349792,"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":0.9986000061035156,"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":0.8671334981918335},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7171328067779541},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5894032120704651},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.584927499294281},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.501539945602417},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.48798030614852905},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.47050637006759644},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4455578029155731},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.41336894035339355},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34311556816101074},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.27133089303970337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0906217098236084},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.07983073592185974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8671334981918335},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7171328067779541},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5894032120704651},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.584927499294281},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.501539945602417},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.48798030614852905},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.47050637006759644},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4455578029155731},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.41336894035339355},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34311556816101074},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.27133089303970337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0906217098236084},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.07983073592185974}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2022edp7175","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7175","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/7/E106.D_2022EDP7175/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2022edp7175","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2022edp7175","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E106.D/7/E106.D_2022EDP7175/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1259820951","display_name":null,"funder_award_id":"JPMJCR19K1","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382652375.pdf","grobid_xml":"https://content.openalex.org/works/W4382652375.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2094756095","https://openalex.org/W2194775991","https://openalex.org/W2475840367","https://openalex.org/W2613938013","https://openalex.org/W2899915146","https://openalex.org/W2904445802","https://openalex.org/W2913221350","https://openalex.org/W2945306514","https://openalex.org/W2949619037","https://openalex.org/W2964010167","https://openalex.org/W3129582867","https://openalex.org/W3187161967","https://openalex.org/W3214824440","https://openalex.org/W4200421000","https://openalex.org/W4210801615","https://openalex.org/W4242577057"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W3042736233","https://openalex.org/W2082487009","https://openalex.org/W2373535795","https://openalex.org/W2406926880","https://openalex.org/W2375218795","https://openalex.org/W2393010557"],"abstract_inverted_index":{"We":[0,50],"developed":[1],"a":[2,40],"PYNQ":[3,29,34,58,104],"cluster":[4,35,59,105],"that":[5,13,84],"consists":[6],"of":[7,63,71,76,88],"economical":[8],"Zynq":[9],"boards,":[10],"called":[11],"M-KUBOS,":[12],"are":[14],"interconnected":[15],"through":[16],"low-cost":[17],"high-performance":[18],"GTH":[19],"serial":[20,114],"links.":[21],"For":[22],"the":[23,28,52,57,68,85,103,160,163,173,176],"software":[24,31],"environment,":[25],"we":[26],"employed":[27],"open-source":[30],"platform.":[32],"The":[33,129],"is":[36],"anticipated":[37],"to":[38,102,159,172],"be":[39,92],"multi-access":[41],"edge":[42],"computing":[43],"(MEC)":[44],"server":[45],"for":[46,60,97],"5G":[47],"mobile":[48],"networks.":[49],"implemented":[51],"ResNet-50":[53,73,77],"inference":[54],"accelerator":[55],"on":[56,131,162,175],"image":[61],"recognition":[62],"MEC":[64],"applications.":[65],"By":[66],"estimating":[67],"execution":[69,86],"time":[70,87],"each":[72,89],"layer,":[74],"layers":[75],"were":[78,109,126],"divided":[79],"into":[80],"multiple":[81],"boards":[82,125,133],"so":[83],"board":[90],"would":[91],"as":[93,95],"equal":[94],"possible":[96],"efficient":[98],"pipeline":[99,122],"processing.":[100],"Owing":[101],"in":[106],"which":[107],"FPGAs":[108],"directly":[110],"connected":[111],"by":[112],"high-speed":[113],"links,":[115],"stream":[116],"processing":[117,123],"without":[118],"network":[119],"bottlenecks":[120],"and":[121,141,152,165],"between":[124],"readily":[127],"realized.":[128],"implementation":[130,161,174],"4":[132],"achieved":[134,147],"292":[135],"GOPS":[136],"performance,":[137],"75.1":[138],"FPS":[139],"throughput,":[140],"7.81":[142],"GOPS/W":[143],"power":[144,156,169],"efficiency.":[145],"It":[146],"17":[148],"times":[149,154,167],"faster":[150],"speed":[151],"130":[153],"more":[155,168],"efficiency":[157,170],"compared":[158,171],"CPU,":[164],"5.8":[166],"GPU.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}