{"id":"https://openalex.org/W4404847987","doi":"https://doi.org/10.1109/isocc62682.2024.10762261","title":"An Im2col Architecture Using The Benes Network For Deep Learning Hardware Accelerators","display_name":"An Im2col Architecture Using The Benes Network For Deep Learning Hardware Accelerators","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4404847987","doi":"https://doi.org/10.1109/isocc62682.2024.10762261"},"language":"en","primary_location":{"id":"doi:10.1109/isocc62682.2024.10762261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc62682.2024.10762261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International SoC Design Conference (ISOCC)","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/A5100326319","display_name":"Sang\u2010Hyun Kim","orcid":"https://orcid.org/0000-0002-4272-6059"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyun Kim","raw_affiliation_strings":["Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108081656","display_name":"Kyung-Ho Kim","orcid":"https://orcid.org/0009-0003-5896-4232"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungho Kim","raw_affiliation_strings":["Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425051","display_name":"Yu-Mi Kim","orcid":"https://orcid.org/0000-0003-0397-7645"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yumi Kim","raw_affiliation_strings":["Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835867","display_name":"Aeri Kim","orcid":"https://orcid.org/0000-0001-6993-060X"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Aeri Kim","raw_affiliation_strings":["Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085550090","display_name":"Sung\u2010Joon Jang","orcid":"https://orcid.org/0000-0002-6992-408X"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Joon Jang","raw_affiliation_strings":["Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Intelligent Image Processing Research Center,South Korea","institution_ids":["https://openalex.org/I4210131650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":0.395,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60484832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9225000143051147,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9225000143051147,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7395874261856079},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6468920707702637},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5473962426185608},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46868446469306946},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.42581063508987427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29392433166503906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395874261856079},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6468920707702637},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5473962426185608},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46868446469306946},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.42581063508987427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29392433166503906},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc62682.2024.10762261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc62682.2024.10762261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1974809703","https://openalex.org/W2111366852","https://openalex.org/W2168961449","https://openalex.org/W2794952988","https://openalex.org/W2906043559","https://openalex.org/W3103168911","https://openalex.org/W6783271833","https://openalex.org/W6849038750"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2038503502"],"abstract_inverted_index":{"General":[0],"matrix-matrix":[1],"multiply":[2],"(GEMM)":[3],"has":[4],"a":[5,21,36,44,59],"significant":[6],"effect":[7],"on":[8,68],"the":[9,40,54,69,73,81],"performance":[10],"of":[11,72],"deep":[12],"learning":[13],"hardware":[14],"accelerators.":[15],"Image":[16],"to":[17,28],"column":[18],"(im2col)":[19],"is":[20],"process":[22,42,56],"that":[23],"rearranges":[24],"input":[25],"data":[26],"images":[27,76],"facilitate":[29],"efficient":[30],"GEMM":[31],"operation.":[32],"This":[33],"paper":[34],"proposes":[35],"method":[37,49],"for":[38],"implementing":[39],"im2col":[41,55],"using":[43],"benes":[45,74],"network.":[46],"The":[47],"proposed":[48],"eliminates":[50],"bottlenecks":[51],"occurring":[52],"in":[53,62],"and":[57],"achieves":[58],"33%":[60],"reduction":[61],"on-chip":[63],"memory":[64],"usage.":[65],"Additionally,":[66],"depending":[67],"routing":[70],"algorithm":[71],"network,":[75],"can":[77],"be":[78],"reorganized":[79],"into":[80],"desired":[82],"configuration.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
