{"id":"https://openalex.org/W2937910684","doi":"https://doi.org/10.1145/3312614.3312655","title":"Cycle-Accurate NoC-based Convolutional Neural Network Simulator","display_name":"Cycle-Accurate NoC-based Convolutional Neural Network Simulator","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2937910684","doi":"https://doi.org/10.1145/3312614.3312655","mag":"2937910684"},"language":"en","primary_location":{"id":"doi:10.1145/3312614.3312655","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3312614.3312655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Omni-Layer Intelligent Systems","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/A5088517936","display_name":"Kun-Chih Chen","orcid":"https://orcid.org/0000-0002-8908-468X"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kun-Chih Jimmy Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-Sen University Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-Sen University Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080840719","display_name":"Ting-Yi George Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Yi George Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-Sen University Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-Sen University Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002536151","display_name":"Yueh-Chi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yueh-Chi Andrew Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-Sen University Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-Sen University Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088517936"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":1.1923,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79092755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8359401226043701},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8341889381408691},{"id":"https://openalex.org/keywords/interconnection","display_name":"Interconnection","score":0.6129748225212097},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.5294363498687744},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5119220018386841},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4546847343444824},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4415225088596344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43169134855270386},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4293707311153412},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42668572068214417},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3600810766220093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13637882471084595},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1172085702419281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8359401226043701},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8341889381408691},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.6129748225212097},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.5294363498687744},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5119220018386841},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4546847343444824},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4415225088596344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43169134855270386},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4293707311153412},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42668572068214417},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3600810766220093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13637882471084595},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1172085702419281}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3312614.3312655","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3312614.3312655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Omni-Layer Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G131145190","display_name":null,"funder_award_id":"MOST 107-2218-E-110-010","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2112016429","https://openalex.org/W2112796928","https://openalex.org/W2118231264","https://openalex.org/W2384912716","https://openalex.org/W2509453741","https://openalex.org/W2553513600","https://openalex.org/W2584255183","https://openalex.org/W2604319603","https://openalex.org/W2756031739","https://openalex.org/W2792402981","https://openalex.org/W2901767673","https://openalex.org/W2962835968","https://openalex.org/W4245199738","https://openalex.org/W4255992566"],"related_works":["https://openalex.org/W2155019192","https://openalex.org/W2014709025","https://openalex.org/W4293226380","https://openalex.org/W2766970861","https://openalex.org/W3125341812","https://openalex.org/W1991674760","https://openalex.org/W1668171714","https://openalex.org/W2155297398","https://openalex.org/W4380607112","https://openalex.org/W1488881018"],"abstract_inverted_index":{"Due":[0],"to":[1,33,104,115],"the":[2,37,42,48,53,67,74,77,87,94,97,106,117,123,128,149,153,157,165,179,182],"development":[3],"of":[4,66,156,181],"intelligent":[5],"systems,":[6],"convolutional":[7,136,184],"neural":[8,137,174,185],"network":[9,138,175,186],"(CNN)":[10],"have":[11],"been":[12,102],"applied":[13],"and":[14,25,41,71,152],"achieved":[15],"outstanding":[16],"performance":[17,50],"in":[18,61,127,141],"many":[19,31],"aspects,":[20],"such":[21],"as":[22,86],"patent":[23],"recognition":[24],"object":[26],"classification.":[27],"Although":[28],"CNN":[29,55,75,81,88,119,125,150,168],"brings":[30],"advantages":[32],"several":[34],"AI":[35],"applications,":[36],"longer":[38],"computing":[39,44,82],"time":[40],"larger":[43],"power":[45],"still":[46],"restrict":[47],"system":[49,129],"significantly.":[51],"Therefore,":[52],"hardware-efficient":[54,118],"accelerator":[56],"design":[57,126],"receives":[58],"much":[59],"attention":[60],"recent":[62],"years.":[63],"However,":[64],"because":[65],"intensively":[68],"complicated":[69,85],"computation":[70],"communication":[72,108],"among":[73],"operation,":[76],"interconnection":[78,100,114],"between":[79],"each":[80],"unit":[83],"becomes":[84],"size":[89],"is":[90,111,160,170],"scaling":[91],"up.":[92],"On":[93],"other":[95],"hand,":[96],"Network-on-chip":[98],"(NoC)":[99],"has":[101],"proposed":[103,145,166],"solve":[105],"complex":[107],"problem,":[109],"which":[110,177],"an":[112],"attractive":[113],"construct":[116],"design.":[120,187],"To":[121],"evaluate":[122],"NoC-based":[124,135,167,183],"level,":[130],"we":[131],"present":[132],"a":[133,171],"cycle-accurate":[134],"simulator,":[139,176],"CNN-Noxim,":[140],"this":[142],"paper.":[143],"The":[144],"CNN-Noxim":[146],"can":[147],"simulate":[148],"models":[151],"classification":[154],"precision":[155],"simulation":[158],"output":[159],"verified":[161],"by":[162],"Keras.":[163],"Consequently,":[164],"simulator":[169],"high":[172],"flexible":[173],"facilitates":[178],"evaluation":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}