{"id":"https://openalex.org/W3004656973","doi":"https://doi.org/10.1109/asicon47005.2019.8983497","title":"A Low-Power High-Throughput In-Memory CMOS-ReRAM Accelerator for Large-Scale Deep Residual Neural Networks","display_name":"A Low-Power High-Throughput In-Memory CMOS-ReRAM Accelerator for Large-Scale Deep Residual Neural Networks","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3004656973","doi":"https://doi.org/10.1109/asicon47005.2019.8983497","mag":"3004656973"},"language":"en","primary_location":{"id":"doi:10.1109/asicon47005.2019.8983497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","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/A5079242743","display_name":"Yuan Cheng","orcid":"https://orcid.org/0000-0001-8083-3026"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Cheng","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Micro/Nano Electronics,Shanghai,China","Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Micro/Nano Electronics,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379477","display_name":"Xiong Liu","orcid":"https://orcid.org/0000-0001-6027-4618"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Liu","raw_affiliation_strings":["School of Physics and Electronics, Hunan Normal University,Hunan,China","School of Physics and Electronics, Hunan Normal University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Hunan Normal University,Hunan,China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"School of Physics and Electronics, Hunan Normal University, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030240223","display_name":"Leibin Ni","orcid":"https://orcid.org/0000-0002-5480-3146"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leibin Ni","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China","Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030264455","display_name":"Hai\u2010Bao Chen","orcid":"https://orcid.org/0000-0001-7046-3455"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Bao Chen","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Micro/Nano Electronics,Shanghai,China","Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Micro/Nano Electronics,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034853402","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-2674-4118"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China","Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079242743"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17473324,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.996399998664856,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cmos","display_name":"CMOS","score":0.7753428220748901},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.7671712040901184},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6188561916351318},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6165692806243896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6103454828262329},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6072288155555725},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.5789747834205627},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5285465121269226},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3759937286376953},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33086466789245605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2874641716480255},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.26346445083618164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14299696683883667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13556909561157227},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12562498450279236},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11465376615524292}],"concepts":[{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.7753428220748901},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7671712040901184},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6188561916351318},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6165692806243896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103454828262329},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6072288155555725},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.5789747834205627},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5285465121269226},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3759937286376953},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33086466789245605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2874641716480255},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.26346445083618164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14299696683883667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13556909561157227},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12562498450279236},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11465376615524292},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon47005.2019.8983497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon47005.2019.8983497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 13th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1902934009","https://openalex.org/W1963882359","https://openalex.org/W2094756095","https://openalex.org/W2108598243","https://openalex.org/W2152839228","https://openalex.org/W2289252105","https://openalex.org/W2405920868","https://openalex.org/W2408724663","https://openalex.org/W2469490737","https://openalex.org/W2563860341","https://openalex.org/W2605663629","https://openalex.org/W2608111952","https://openalex.org/W2613574453","https://openalex.org/W2775771159","https://openalex.org/W2963114950","https://openalex.org/W3024621361","https://openalex.org/W4212788319","https://openalex.org/W6639703010","https://openalex.org/W6714058667","https://openalex.org/W6720242923","https://openalex.org/W6730589793"],"related_works":["https://openalex.org/W2054635671","https://openalex.org/W2545245183","https://openalex.org/W4315697128","https://openalex.org/W2017425642","https://openalex.org/W2350916061","https://openalex.org/W2952918855","https://openalex.org/W1970117475","https://openalex.org/W4396815615","https://openalex.org/W3161624601","https://openalex.org/W3095334494"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,72],"in-memory":[3],"accelerator":[4,102],"circuit":[5],"design":[6],"for":[7,45,94],"ResNet-50,":[8],"a":[9,57,64],"large-scale":[10],"residual":[11],"neural":[12],"network":[13],"with":[14],"49":[15],"convolutional":[16],"layers,":[17],"2.6":[18],"\u00d7":[19,27,59],"10":[20,28],"<sup":[21,29],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[22,30],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">7</sup>":[23],"parameters":[24],"and":[25,53,71,90,96,110],"4.1":[26],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">9</sup>":[31],"floating-point":[32],"operations":[33],"(FLOPS).":[34],"A":[35],"4-bit":[36,88],"quantized":[37],"ResNet-50":[38],"is":[39,50],"first":[40],"chosen":[41],"among":[42],"various":[43],"bitwidths":[44],"the":[46,82,99,116],"best":[47],"trade-off.":[48],"It":[49],"then":[51],"trained":[52],"fully":[54],"mapped":[55],"onto":[56],"4608":[58],"512":[60],"ReRAM":[61],"crossbar,":[62],"yielding":[63],"storage":[65],"reduction":[66],"from":[67],"195.2Mb":[68],"to":[69,103,106],"24.3Mb":[70],"88.1%":[73],"top-5":[74],"accuracy":[75],"on":[76],"ImageNet,":[77],"only":[78],"2.5%":[79],"lower":[80],"than":[81],"full-precision":[83],"original.":[84],"Two":[85],"versatile":[86],"CMOS":[87],"DAC":[89],"ADC":[91],"are":[92],"designed":[93],"input":[95],"readout,":[97],"allowing":[98],"proposed":[100],"CMOS-ReRAM":[101],"achieve":[104],"up":[105],"15.2\u00d7":[107],"runtime":[108],"speedup":[109],"498\u00d7":[111],"higher":[112],"energy":[113],"efficiency":[114],"versus":[115],"state-of-the-art":[117],"CMOS-ASIC":[118],"implementation.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}