{"id":"https://openalex.org/W4411724941","doi":"https://doi.org/10.1109/iscas56072.2025.11043525","title":"Leveraging ReRAM Crossbar for Octave Convolution in Deep Neural Networks","display_name":"Leveraging ReRAM Crossbar for Octave Convolution in Deep Neural Networks","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411724941","doi":"https://doi.org/10.1109/iscas56072.2025.11043525"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092921368","display_name":"Abrar Abdurrob","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abrar Abdurrob","raw_affiliation_strings":["Stony Brook University (SUNY),Department of Electrical and Computer Engineering,Stony Brook,New York,11794"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University (SUNY),Department of Electrical and Computer Engineering,Stony Brook,New York,11794","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061262597","display_name":"Emre Salman","orcid":"https://orcid.org/0000-0001-6538-6803"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emre Salman","raw_affiliation_strings":["Stony Brook University (SUNY),Department of Electrical and Computer Engineering,Stony Brook,New York,11794"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University (SUNY),Department of Electrical and Computer Engineering,Stony Brook,New York,11794","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17623062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.987500011920929,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9793999791145325,"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":0.7293959259986877},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6826691627502441},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.6315441131591797},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.6247459053993225},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.5721961855888367},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5314421057701111},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.49367913603782654},{"id":"https://openalex.org/keywords/dart","display_name":"Dart","score":0.4421742260456085},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43991464376449585},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.41925686597824097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37100642919540405},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3357395529747009},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3303593695163727},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2110266089439392},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15623560547828674},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14278334379196167},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12606725096702576},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10338681936264038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09286397695541382},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08811745047569275},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06711998581886292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293959259986877},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6826691627502441},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.6315441131591797},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.6247459053993225},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.5721961855888367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5314421057701111},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.49367913603782654},{"id":"https://openalex.org/C2779417484","wikidata":"https://www.wikidata.org/wiki/Q406009","display_name":"Dart","level":2,"score":0.4421742260456085},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43991464376449585},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.41925686597824097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37100642919540405},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3357395529747009},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3303593695163727},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2110266089439392},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15623560547828674},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14278334379196167},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12606725096702576},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10338681936264038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09286397695541382},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08811745047569275},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06711998581886292}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1962395366","https://openalex.org/W1983725501","https://openalex.org/W2007339694","https://openalex.org/W2285660444","https://openalex.org/W2518281301","https://openalex.org/W2587907650","https://openalex.org/W2613989746","https://openalex.org/W2620706599","https://openalex.org/W2626719825","https://openalex.org/W2770165898","https://openalex.org/W2799229073","https://openalex.org/W2802367674","https://openalex.org/W2805362231","https://openalex.org/W2807750997","https://openalex.org/W2899915146","https://openalex.org/W2919115771","https://openalex.org/W2988396473","https://openalex.org/W3016042429","https://openalex.org/W3031771821","https://openalex.org/W3107327473","https://openalex.org/W3157197680","https://openalex.org/W3159906349","https://openalex.org/W3175086096","https://openalex.org/W3198625877","https://openalex.org/W4220726516","https://openalex.org/W4232753305","https://openalex.org/W4253012315","https://openalex.org/W4313496552","https://openalex.org/W6631190155","https://openalex.org/W6637151318"],"related_works":["https://openalex.org/W3005999147","https://openalex.org/W2015497999","https://openalex.org/W3164474614","https://openalex.org/W2171130799","https://openalex.org/W2005875039","https://openalex.org/W3173413269","https://openalex.org/W2015477599","https://openalex.org/W2144085790","https://openalex.org/W2548135880","https://openalex.org/W3177379469"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"co-design":[4],"method":[5],"that":[6],"integrates":[7],"the":[8,32,38,53,60,64,75,81,98,102,117,123,127],"central":[9],"processing":[10],"unit":[11],"(CPU)":[12],"and":[13,55],"resistive":[14],"random-access":[15],"memory":[16],"(ReRAM)":[17],"crossbar":[18],"to":[19,62,68,94],"enhance":[20],"energy":[21],"efficiency":[22],"of":[23,83,104,116],"Octave":[24,33,96],"convolution.":[25],"In":[26],"this":[27,78],"method,":[28],"low-frequency":[29],"operations":[30,85,106,119],"within":[31,59,112],"framework":[34],"are":[35,46,50,57],"executed":[36,121],"by":[37,52,86,91,107,122],"energy-efficient":[39,124],"ReRAM":[40,125],"crossbar,":[41],"while":[42,88,109],"high-frequency":[43],"computations,":[44],"which":[45],"crucial":[47],"for":[48,71],"accuracy,":[49],"processed":[51],"CPU":[54,61,84,105],"results":[56],"combined":[58],"finalize":[63],"classification":[65],"task.":[66],"Compared":[67,93],"vanilla":[69],"convolution,":[70,97],"ResNet-50":[72],"trained":[73],"on":[74],"CIFAR-10":[76],"dataset,":[77],"approach":[79,100],"reduces":[80,101],"number":[82,103],"37%":[87],"improving":[89],"accuracy":[90,111],"4.7%.":[92],"traditional":[95],"proposed":[99,128],"17%":[108],"maintaining":[110],"2%.":[113],"Approximately":[114],"18.5%":[115],"total":[118],"is":[120],"in":[126],"approach.":[129]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
