{"id":"https://openalex.org/W4364859942","doi":"https://doi.org/10.1109/apccas55924.2022.10090309","title":"A 104.76-TOPS/W, Spike-Based Convolutional Neural Network Accelerator with Reduced On-Chip Memory Data Flow and Operation Unit Skipping","display_name":"A 104.76-TOPS/W, Spike-Based Convolutional Neural Network Accelerator with Reduced On-Chip Memory Data Flow and Operation Unit Skipping","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4364859942","doi":"https://doi.org/10.1109/apccas55924.2022.10090309"},"language":"en","primary_location":{"id":"doi:10.1109/apccas55924.2022.10090309","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apccas55924.2022.10090309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-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/A5060347866","display_name":"Ping-Li Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ping-Li Huang","raw_affiliation_strings":["Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022672356","display_name":"Chen-Han Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chen-Han Hsu","raw_affiliation_strings":["Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019580193","display_name":"Yu-Hsiang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsiang Cheng","raw_affiliation_strings":["Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103129965","display_name":"Zhaofang Li","orcid":"https://orcid.org/0000-0002-5485-4488"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zhaofang Li","raw_affiliation_strings":["Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060174339","display_name":"Yu\u2010Hsuan Lin","orcid":"https://orcid.org/0000-0001-8352-3584"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsuan Lin","raw_affiliation_strings":["Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044259295","display_name":"Kea\u2010Tiong Tang","orcid":"https://orcid.org/0000-0002-9689-1236"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kea-Tiong Tang","raw_affiliation_strings":["Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"Nation Tsinghua University,Department of Electrical Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060347866"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43626636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"45"},"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/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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9951000213623047,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6759923100471497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547821760177612},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5190678238868713},{"id":"https://openalex.org/keywords/tops","display_name":"TOPS","score":0.5142585635185242},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4971499741077423},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.47876277565956116},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.47607699036598206},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36977168917655945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15949806571006775},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1365017592906952},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08960956335067749}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6759923100471497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547821760177612},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5190678238868713},{"id":"https://openalex.org/C2777675136","wikidata":"https://www.wikidata.org/wiki/Q835642","display_name":"TOPS","level":3,"score":0.5142585635185242},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4971499741077423},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.47876277565956116},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.47607699036598206},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36977168917655945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15949806571006775},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1365017592906952},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08960956335067749},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C154815118","wikidata":"https://www.wikidata.org/wiki/Q453762","display_name":"Spinning","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas55924.2022.10090309","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apccas55924.2022.10090309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G7184982298","display_name":null,"funder_award_id":"MOST 110-2622-8-007-018,MOST 111-2218-E-007-009","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2302060003","https://openalex.org/W3036866137","https://openalex.org/W3042725081","https://openalex.org/W3092176129","https://openalex.org/W3158596234","https://openalex.org/W3159734256","https://openalex.org/W3196571547","https://openalex.org/W4221166572","https://openalex.org/W4229069445","https://openalex.org/W6809739085"],"related_works":["https://openalex.org/W2811109569","https://openalex.org/W2385933648","https://openalex.org/W2381557761","https://openalex.org/W2067978743","https://openalex.org/W4231398535","https://openalex.org/W4245680303","https://openalex.org/W1996292569","https://openalex.org/W2043153436","https://openalex.org/W4251921734","https://openalex.org/W4225949190"],"abstract_inverted_index":{"The":[0,61],"energy":[1,148,161],"efficiency":[2,162],"of":[3,63,99,129,163],"artificial":[4],"intelligence":[5],"networks":[6,22],"must":[7],"be":[8,14,47],"increased":[9],"if":[10],"they":[11,32],"are":[12,24],"to":[13,55,113,123],"implemented":[15],"on":[16],"edge":[17],"devices.":[18],"Brain-inspired":[19],"spiking":[20,72],"neural":[21,52],"(SNNs)":[23],"considered":[25],"potential":[26],"candidates":[27],"for":[28],"this":[29,105,156],"purpose":[30],"because":[31],"do":[33],"not":[34],"involve":[35],"multiplication":[36],"operations.":[37,44],"SNNs":[38,45],"only":[39],"perform":[40],"addition":[41],"and":[42,66,93,119,122,144],"shifting":[43],"can":[46],"used":[48],"with":[49,81],"a":[50,67,71,77,84,89,95,107,130],"convolutional":[51],"network":[53],"(CNN)":[54],"reduce":[56,114],"the":[57,115,125,136,146,152,168],"required":[58,116,140],"computational":[59],"power.":[60],"combination":[62],"an":[64,82,142,158],"SNN":[65],"CNN":[68,73],"is":[69,101,111],"called":[70],"(SCNN).":[74],"To":[75],"achieve":[76],"high":[78],"operation":[79,126],"speed":[80],"SCNN,":[83],"large":[85,91,97],"memory,":[86],"which":[87],"occupies":[88],"relatively":[90,96],"area":[92],"consumes":[94],"amount":[98],"power,":[100],"often":[102],"required.":[103],"In":[104],"paper,":[106],"data":[108],"flow":[109],"method":[110,134,154],"proposed":[112,153],"on-chip":[117,138],"memory":[118,139],"power":[120],"consumption":[121],"eliminate":[124],"unit":[127],"skipping":[128],"high-sparsity":[131],"SCNN.":[132],"This":[133],"decreases":[135],"overall":[137],"by":[141],"SCNN":[143,159],"increases":[145],"network's":[147],"efficiency.":[149],"When":[150],"using":[151],"in":[155],"study,":[157],"exhibited":[160],"104.76":[164],"TOPS/W":[165],"when":[166],"processing":[167],"CIFA-10":[169],"dataset.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}