{"id":"https://openalex.org/W4387448119","doi":"https://doi.org/10.1109/tpds.2023.3322907","title":"Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs","display_name":"Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387448119","doi":"https://doi.org/10.1109/tpds.2023.3322907"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2023.3322907","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tpds.2023.3322907","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed 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/A5068283310","display_name":"Bosheng Liu","orcid":"https://orcid.org/0000-0001-7123-7425"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bosheng Liu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-7123-7425","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045203401","display_name":"Zhuoshen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoshen Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0004-6130-9244","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089003635","display_name":"Yalan Wu","orcid":"https://orcid.org/0000-0002-0919-0766"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalan Wu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-0919-0766","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060755096","display_name":"Jigang Wu","orcid":"https://orcid.org/0000-0002-6470-9794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-6470-9794","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420361","display_name":"Xiaoming Chen","orcid":"https://orcid.org/0000-0002-7337-1844"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Chen","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7337-1844","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346801","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0002-2329-502X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-2329-502X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604365","display_name":"Qingguo Zhou","orcid":"https://orcid.org/0000-0001-8054-5446"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingguo Zhou","raw_affiliation_strings":["School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0000-0001-8054-5446","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016864694","display_name":"Yinhe Han","orcid":"https://orcid.org/0000-0003-0904-6681"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhe Han","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0904-6681","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52039766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"34","issue":"12","first_page":"3133","last_page":"3146"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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":0.9987000226974487,"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":0.8468368053436279},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6650917530059814},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.6470434665679932},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6183074116706848},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.5995831489562988},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5874853134155273},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.522063672542572},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.5022335052490234},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.4142419695854187},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.38510724902153015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3527805805206299},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32090383768081665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2942351996898651},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.279715895652771},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.23885402083396912},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08670023083686829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468368053436279},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6650917530059814},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.6470434665679932},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6183074116706848},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.5995831489562988},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5874853134155273},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.522063672542572},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.5022335052490234},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.4142419695854187},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38510724902153015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3527805805206299},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32090383768081665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2942351996898651},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.279715895652771},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.23885402083396912},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08670023083686829},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2023.3322907","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tpds.2023.3322907","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1409336737","display_name":null,"funder_award_id":"62302102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2595929697","display_name":null,"funder_award_id":"62174038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3320598914","display_name":null,"funder_award_id":"2022A1515110599","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3923780928","display_name":null,"funder_award_id":"202201010347","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G534854344","display_name":null,"funder_award_id":"62122076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7783709206","display_name":null,"funder_award_id":"2023A1515012844","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W2010202670","https://openalex.org/W2015098353","https://openalex.org/W2024381286","https://openalex.org/W2082311763","https://openalex.org/W2108598243","https://openalex.org/W2141546789","https://openalex.org/W2172654076","https://openalex.org/W2194775991","https://openalex.org/W2464708700","https://openalex.org/W2476548250","https://openalex.org/W2493624724","https://openalex.org/W2613989746","https://openalex.org/W2626112510","https://openalex.org/W2740220207","https://openalex.org/W2808739938","https://openalex.org/W2946618949","https://openalex.org/W2950649068","https://openalex.org/W2962766617","https://openalex.org/W2963512705","https://openalex.org/W2963524571","https://openalex.org/W2988396473","https://openalex.org/W3001125339","https://openalex.org/W3014034225","https://openalex.org/W3017059173","https://openalex.org/W3036584612","https://openalex.org/W3042493405","https://openalex.org/W3089022192","https://openalex.org/W3104147253","https://openalex.org/W3120931476","https://openalex.org/W3189487902","https://openalex.org/W3192708755","https://openalex.org/W3198625877","https://openalex.org/W3213056107","https://openalex.org/W4205270231","https://openalex.org/W4232844652","https://openalex.org/W4243519499","https://openalex.org/W4254672563","https://openalex.org/W4286359881","https://openalex.org/W4286373137","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W3167919718","https://openalex.org/W2807127337","https://openalex.org/W2017990332","https://openalex.org/W2080337923","https://openalex.org/W1488776355","https://openalex.org/W2093251826","https://openalex.org/W4244262766"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"(including":[4],"2D":[5,106,153,163],"and":[6,19,107,147,154,164,177],"3D":[7,108,155,165],"convolutions)":[8],"are":[9,30,49],"popular":[10],"in":[11,32,102,126],"video":[12],"analysis":[13],"tasks":[14],"such":[15,24],"as":[16,25],"action":[17],"recognition":[18],"activity":[20],"understanding.":[21],"Fast":[22],"algorithms":[23],"fast":[26],"Fourier":[27],"transforms":[28],"(FFTs)":[29],"promising":[31],"significantly":[33],"reducing":[34],"computation":[35],"complexity":[36],"by":[37,143],"transforming":[38],"convolution":[39],"into":[40],"frequency":[41,44],"domain.":[42],"In":[43],"space,":[45],"conventional":[46],"spatial":[47],"convolutions":[48],"replaced":[50],"with":[51,116,174],"simpler":[52],"element-wise":[53,99,123],"complex":[54,100,124],"multiplications.":[55],"Conventional":[56],"application-specific-integrated-circuit":[57],"(ASIC)":[58],"based":[59,91,159],"frequency-domain":[60,85,112,144],"accelerators":[61],"can":[62,97,120],"achieve":[63],"effective":[64],"performance":[65,176],"boost":[66],"but":[67],"come":[68],"at":[69],"the":[70,78,139],"cost":[71],"of":[72],"significant":[73],"energy":[74,178],"consumption,":[75],"owing":[76],"to":[77,137],"hierarchical":[79],"memory":[80,89,103],"organization.":[81],"We":[82,131],"propose":[83],"a":[84,134],"resistive":[86],"random":[87],"access":[88],"(ReRAM)":[90],"inference":[92],"accelerator":[93],"called":[94],"FDA":[95,170],"that":[96,169],"process":[98,113],"multiplication":[101,125],"for":[104,151],"both":[105,152,162],"CNNs.":[109],"Each":[110],"ReRAM-based":[111],"element":[114],"(PE)":[115],"two":[117,127],"ReRAM":[118],"cells":[119],"perform":[121],"an":[122],"continuous":[128],"execution":[129],"cycles.":[130],"then":[132],"provide":[133],"flexible":[135],"dataflow":[136],"alleviate":[138],"redundant":[140],"data":[141,145],"movements":[142],"reuse":[146],"inherent":[148],"symmetrical":[149],"characteristic":[150],"convolutions.":[156],"Evaluation":[157],"results":[158],"on":[160],"representative":[161],"CNN":[166],"benchmarks":[167],"demonstrate":[168],"outperforms":[171],"state-of-the-art":[172],"baselines":[173],"better":[175],"efficiency.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}