{"id":"https://openalex.org/W4281397851","doi":"https://doi.org/10.1145/3510819","title":"A Novel Architecture Design for Output Significance Aligned Flow with Adaptive Control in ReRAM-based Neural Network Accelerator","display_name":"A Novel Architecture Design for Output Significance Aligned Flow with Adaptive Control in ReRAM-based Neural Network Accelerator","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4281397851","doi":"https://doi.org/10.1145/3510819"},"language":"en","primary_location":{"id":"doi:10.1145/3510819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510819","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-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/A5071148822","display_name":"Taozhong Li","orcid":"https://orcid.org/0000-0002-5421-0199"},"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":"Taozhong Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045693138","display_name":"Naifeng Jing","orcid":"https://orcid.org/0000-0001-8417-5796"},"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":"Naifeng Jing","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008057183","display_name":"Jianfei Jiang","orcid":"https://orcid.org/0000-0002-5521-6197"},"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":"Jianfei Jiang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063554298","display_name":"Qin Wang","orcid":"https://orcid.org/0000-0002-6559-5207"},"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":"Qin Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103236320","display_name":"Zhigang Mao","orcid":"https://orcid.org/0000-0001-9431-9853"},"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":"Zhigang Mao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Duke University, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071148822"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38198494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":"6","first_page":"1","last_page":"22"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","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/T12676","display_name":"Machine Learning and ELM","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.8494760394096375},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.5388824939727783},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.5386097431182861},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4780048429965973},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4539664685726166},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4497338831424713},{"id":"https://openalex.org/keywords/flow-control","display_name":"Flow control (data)","score":0.4432210326194763},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43776530027389526},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3864339590072632},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3524089455604553},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34105294942855835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1495215892791748},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13670945167541504},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09771227836608887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8494760394096375},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.5388824939727783},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.5386097431182861},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4780048429965973},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4539664685726166},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4497338831424713},{"id":"https://openalex.org/C186766456","wikidata":"https://www.wikidata.org/wiki/Q612457","display_name":"Flow control (data)","level":2,"score":0.4432210326194763},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43776530027389526},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3864339590072632},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3524089455604553},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34105294942855835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1495215892791748},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13670945167541504},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09771227836608887},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3510819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3510819","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Design Automation of Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G3644977654","display_name":null,"funder_award_id":"61772331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1598866093","https://openalex.org/W1686810756","https://openalex.org/W1724438581","https://openalex.org/W2025636917","https://openalex.org/W2027342132","https://openalex.org/W2056507634","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2399958287","https://openalex.org/W2508602506","https://openalex.org/W2518281301","https://openalex.org/W2587907650","https://openalex.org/W2593303827","https://openalex.org/W2613989746","https://openalex.org/W2790916019","https://openalex.org/W2794288888","https://openalex.org/W2795127895","https://openalex.org/W2799229073","https://openalex.org/W2808970127","https://openalex.org/W2883084140","https://openalex.org/W2888396948","https://openalex.org/W2899749435","https://openalex.org/W2910506572","https://openalex.org/W2913104037","https://openalex.org/W2921329602","https://openalex.org/W2946047477","https://openalex.org/W2949674408","https://openalex.org/W2951094271","https://openalex.org/W2978384356","https://openalex.org/W3015980402","https://openalex.org/W4236868170","https://openalex.org/W4240168186","https://openalex.org/W4294560677"],"related_works":["https://openalex.org/W3005999147","https://openalex.org/W1569655464","https://openalex.org/W3176428941","https://openalex.org/W3089883684","https://openalex.org/W4232634182","https://openalex.org/W2030843684","https://openalex.org/W2115150433","https://openalex.org/W4301187613","https://openalex.org/W2923038022","https://openalex.org/W3008646524"],"abstract_inverted_index":{"Resistive-RAM-based":[0],"(ReRAM-based)":[1],"computing":[2,16,32,42,81,131,181],"shows":[3,136],"great":[4],"potential":[5],"on":[6,90,96],"accelerating":[7],"DNN":[8,147,159,185],"inference":[9],"by":[10,111],"its":[11],"highly":[12],"parallel":[13],"structure.":[14],"Regrettably,":[15],"accuracy":[17,43],"in":[18,126,146],"practical":[19],"is":[20],"much":[21],"lower":[22],"than":[23],"expected":[24],"due":[25],"to":[26,86,108,120,128,140],"the":[27,46,122,129,133,137],"non-ideal":[28],"ReRAM":[29],"device.":[30],"Conventional":[31],"flow":[33,82],"with":[34,77,93,105,183],"fixed":[35],"wordline":[36],"activation":[37],"scheme":[38,70],"can":[39,167],"effectively":[40],"protect":[41],"but":[44],"at":[45],"cost":[47],"of":[48,58,172,177],"significant":[49,169],"performance":[50,60,170],"and":[51,61,74,114,174],"energy":[52,175],"savings":[53,176],"reduction.":[54],"For":[55],"such":[56],"embarrassment":[57],"accuracy,":[59],"energy,":[62],"this":[63],"article":[64],"proposes":[65],"a":[66,78,153],"new":[67,123],"Adaptive-Wordline-Activation":[68],"control":[69,89],"(":[71,83],"AWA-control":[72,101],")":[73,85],"combines":[75],"it":[76],"theoretical":[79],"Output-Significance-Aligned":[80],"OSA-flow":[84,103,134,155,165],"enable":[87,121],"fine-grained":[88],"output":[91],"significance":[92],"distinct":[94],"impact":[95],"final":[97],"result.":[98],"We":[99],"demonstrate":[100],"-supported":[102],"architecture":[104,135,156,166,182],"maximal":[106],"compatibility":[107],"conventional":[109,130,180],"crossbar":[110],"input":[112],"retiming":[113],"weight":[115],"remapping":[116],"using":[117],"shifting":[118],"registers":[119],"flow.":[124],"However,":[125],"contrast":[127],"architecture,":[132],"better":[138],"capability":[139],"exploit":[141],"data":[142],"sparsity":[143],"commonly":[144],"seen":[145],"models.":[148],"So":[149],"we":[150],"also":[151],"design":[152],"sparsity-aware":[154],"for":[157],"further":[158],"speedup.":[160],"Evaluation":[161],"results":[162],"show":[163],"that":[164],"provide":[168],"improvement":[171],"21.6\u00d7,":[173],"96.2%":[178],"over":[179],"similar":[184],"accuracy.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}