{"id":"https://openalex.org/W4391183582","doi":"https://doi.org/10.1109/asicon58565.2023.10396369","title":"Hardware-Specific Optimization for Mapping of Convolutional Neural Networks to Memristor Crossbars","display_name":"Hardware-Specific Optimization for Mapping of Convolutional Neural Networks to Memristor Crossbars","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183582","doi":"https://doi.org/10.1109/asicon58565.2023.10396369"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396369","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10396369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th 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/A5076797879","display_name":"Seokjin Oh","orcid":"https://orcid.org/0000-0003-1552-6059"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seokjin Oh","raw_affiliation_strings":["Kookmin University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Kookmin University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102860579","display_name":"R.H. Yoon","orcid":"https://orcid.org/0009-0001-1402-3364"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Rina Yoon","raw_affiliation_strings":["Kookmin University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Kookmin University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035847834","display_name":"Seungmyeong Cho","orcid":"https://orcid.org/0009-0008-4577-0128"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungmyeong Cho","raw_affiliation_strings":["Kookmin University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Kookmin University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063226833","display_name":"Kyeong\u2010Sik Min","orcid":"https://orcid.org/0000-0002-1518-7037"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyeong-Sik Min","raw_affiliation_strings":["Kookmin University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Kookmin University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"School of Electrical Engineering, Kookmin University, Seoul, Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076797879"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18368505,"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":"1"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9918000102043152,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.8514370918273926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6791277527809143},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6215687394142151},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4245142638683319},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4167526066303253},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3645102381706238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3171209692955017},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2652198076248169},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1367090940475464}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.8514370918273926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6791277527809143},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6215687394142151},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4245142638683319},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4167526066303253},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3645102381706238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3171209692955017},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2652198076248169},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1367090940475464}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396369","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/asicon58565.2023.10396369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322202","display_name":"IC Design Education Center","ror":"https://ror.org/005v57z85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2914770420","https://openalex.org/W3113256013","https://openalex.org/W3174261480","https://openalex.org/W4282829327","https://openalex.org/W4318053949"],"related_works":["https://openalex.org/W4229452466","https://openalex.org/W2966276069","https://openalex.org/W2463286374","https://openalex.org/W2304829496","https://openalex.org/W2052332160","https://openalex.org/W2358307108","https://openalex.org/W3031124155","https://openalex.org/W2204001882","https://openalex.org/W190448578","https://openalex.org/W216248561"],"abstract_inverted_index":{"Edge":[0],"intelligence":[1],"hardware":[2],"requires":[3],"very":[4,93],"high":[5],"computing":[6,33,79,87,97],"energy":[7,11,34,98],"efficiency":[8,35],"because":[9],"the":[10,25,62,67,72,78,101],"supply":[12],"is":[13],"usually":[14],"limited":[15],"in":[16,66,95,100],"edge":[17],"devices":[18],"[1]":[19],".":[20,50],"Memristor":[21],"crossbars":[22,69],"can":[23,36,57,91],"be":[24,37,58,92],"best":[26],"candidate":[27],"to":[28,61],"perform":[29],"processing-in-memory":[30],"applications,":[31],"where":[32],"much":[38],"better":[39],"than":[40],"traditional":[41],"digital":[42],"systems":[43],"based":[44],"on":[45],"Von":[46],"Neumann":[47],"architecture":[48,85],"[2]":[49],"The":[51,83],"neural":[52],"network\u2019s":[53],"vector":[54],"matrix":[55],"multiplication":[56],"calculated":[59],"according":[60],"Physical":[63],"Ohm\u2019s":[64],"law":[65],"memristor":[68,102],"without":[70],"sending":[71],"data":[73],"back":[74],"and":[75,80,88],"forth":[76],"between":[77],"memory":[81,89],"units.":[82],"united":[84],"of":[86],"units":[90],"helpful":[94],"reducing":[96],"consumption":[99],"crossbars.":[103]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}