{"id":"https://openalex.org/W2945393140","doi":"https://doi.org/10.1109/isdcs.2019.8719278","title":"Hardware Efficient Convolution Processing Unit for Deep Neural Networks","display_name":"Hardware Efficient Convolution Processing Unit for Deep Neural Networks","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2945393140","doi":"https://doi.org/10.1109/isdcs.2019.8719278","mag":"2945393140"},"language":"en","primary_location":{"id":"doi:10.1109/isdcs.2019.8719278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdcs.2019.8719278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS)","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/A5040486945","display_name":"Anakhi Hazarika","orcid":"https://orcid.org/0000-0003-0911-6627"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anakhi Hazarika","raw_affiliation_strings":["Indian Institute of Information Technology Guwahati, Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Guwahati, Guwahati","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018489725","display_name":"Soumyajit Poddar","orcid":"https://orcid.org/0000-0002-3476-2199"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumyajit Poddar","raw_affiliation_strings":["Indian Institute of Information Technology Guwahati, Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Guwahati, Guwahati","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082934529","display_name":"Hafizur Rahaman","orcid":"https://orcid.org/0000-0001-9012-5437"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hafizur Rahaman","raw_affiliation_strings":["Indian Institute of Engineering Science and Technology, Shibpur, Howrah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Engineering Science and Technology, Shibpur, Howrah","institution_ids":["https://openalex.org/I98365261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3051,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59606028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"521","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.998199999332428,"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":0.8511489629745483},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7356767058372498},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7026456594467163},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5842892527580261},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5659142732620239},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5186644792556763},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48849308490753174},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4569835960865021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4552629292011261},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.45166850090026855},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4325668215751648},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.42828360199928284},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4111974835395813},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.40063029527664185},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.25567275285720825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13696768879890442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511489629745483},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7356767058372498},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7026456594467163},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5842892527580261},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5659142732620239},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5186644792556763},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48849308490753174},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4569835960865021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4552629292011261},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.45166850090026855},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4325668215751648},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.42828360199928284},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4111974835395813},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.40063029527664185},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.25567275285720825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13696768879890442},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isdcs.2019.8719278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdcs.2019.8719278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2260498192","https://openalex.org/W2279098554","https://openalex.org/W2289252105","https://openalex.org/W2733732483","https://openalex.org/W2759398875","https://openalex.org/W2919115771","https://openalex.org/W3026022605","https://openalex.org/W4249932213","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6695314431"],"related_works":["https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085","https://openalex.org/W4391382578","https://openalex.org/W4319952061","https://openalex.org/W4280636456"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Network":[2],"(CNN)":[3],"is":[4,64,84,112],"a":[5,30,107],"type":[6],"of":[7,26,33,46,80,92,109],"deep":[8],"neural":[9],"networks":[10],"that":[11],"are":[12],"commonly":[13],"used":[14],"for":[15,22,72,106],"object":[16],"detection":[17],"and":[18,24,35,50,61],"classification.":[19],"State-of-the-art":[20],"hardware":[21,97],"training":[23],"inference":[25],"CNN":[27,39,73,110],"architectures":[28],"require":[29],"considerable":[31],"amount":[32],"computation":[34],"memory":[36,57],"intensive":[37],"resources.":[38],"achieves":[40,116],"greater":[41],"accuracy":[42],"at":[43],"the":[44,56,90],"cost":[45],"high":[47],"computational":[48,118],"complexity":[49],"large":[51],"power":[52],"consumption.":[53],"To":[54],"optimize":[55],"requirement,":[58],"processing":[59],"speed":[60],"power,":[62],"it":[63],"crucial":[65],"to":[66,88],"design":[67,104,115],"more":[68],"efficient":[69],"accelerator":[70,98,123],"architecture":[71,99],"computation.":[74],"In":[75],"this":[76],"work,":[77],"an":[78],"overlap":[79],"spatially":[81],"adjacent":[82],"data":[83],"exploited":[85],"in":[86],"order":[87],"parallelize":[89],"movement":[91],"data.":[93],"A":[94],"fast,":[95],"re-configurable":[96],"along":[100],"with":[101],"optimized":[102],"kernel":[103],"suitable":[105],"variety":[108],"models":[111],"proposed.":[113],"Our":[114],"2.1x":[117],"benefits":[119],"over":[120],"state-of":[121],"the-art":[122],"architectures.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}