{"id":"https://openalex.org/W2979951084","doi":"https://doi.org/10.1109/patmos.2019.8862166","title":"High Performance Accelerator for CNN Applications","display_name":"High Performance Accelerator for CNN Applications","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979951084","doi":"https://doi.org/10.1109/patmos.2019.8862166","mag":"2979951084"},"language":"en","primary_location":{"id":"doi:10.1109/patmos.2019.8862166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/patmos.2019.8862166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)","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/A5073844013","display_name":"Angelos Kyriakos","orcid":"https://orcid.org/0000-0001-5090-0582"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Angelos Kyriakos","raw_affiliation_strings":["Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068099507","display_name":"Vasileios Kitsakis","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Kitsakis","raw_affiliation_strings":["Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030787733","display_name":"Alexandros Louropoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexandros Louropoulos","raw_affiliation_strings":["Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047558941","display_name":"Elissaios Alexios Papatheofanous","orcid":"https://orcid.org/0000-0002-4286-0098"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Elissaios-Alexios Papatheofanous","raw_affiliation_strings":["Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087403674","display_name":"Ioannis Patronas","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Patronas","raw_affiliation_strings":["Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030998325","display_name":"Dionysios Reisis","orcid":"https://orcid.org/0000-0002-9265-3599"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dionysios Reisis","raw_affiliation_strings":["Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Electronics Lab, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073844013"],"corresponding_institution_ids":["https://openalex.org/I200777214"],"apc_list":null,"apc_paid":null,"fwci":1.4298,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85776892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9970999956130981,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9954000115394592,"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":0.8457404375076294},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8111830949783325},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7601827383041382},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6977301836013794},{"id":"https://openalex.org/keywords/vhdl","display_name":"VHDL","score":0.6873835325241089},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6699559092521667},{"id":"https://openalex.org/keywords/virtex","display_name":"Virtex","score":0.5639960169792175},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.49365267157554626},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4756443202495575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47525593638420105},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.474700391292572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4453392028808594},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4276924729347229},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3647976517677307},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12983468174934387},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11990681290626526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8457404375076294},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8111830949783325},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7601827383041382},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6977301836013794},{"id":"https://openalex.org/C36941000","wikidata":"https://www.wikidata.org/wiki/Q209455","display_name":"VHDL","level":3,"score":0.6873835325241089},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6699559092521667},{"id":"https://openalex.org/C2777674469","wikidata":"https://www.wikidata.org/wiki/Q20741011","display_name":"Virtex","level":3,"score":0.5639960169792175},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.49365267157554626},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4756443202495575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47525593638420105},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.474700391292572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4453392028808594},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4276924729347229},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3647976517677307},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12983468174934387},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11990681290626526},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/patmos.2019.8862166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/patmos.2019.8862166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1921523184","https://openalex.org/W2078782167","https://openalex.org/W2094756095","https://openalex.org/W2117130368","https://openalex.org/W2133758917","https://openalex.org/W2146589686","https://openalex.org/W2148518798","https://openalex.org/W2511754039","https://openalex.org/W2786106922","https://openalex.org/W2898422183","https://openalex.org/W2950598802","https://openalex.org/W2964121744","https://openalex.org/W3099047006","https://openalex.org/W3118447446","https://openalex.org/W6631190155","https://openalex.org/W6640185926","https://openalex.org/W6674479107","https://openalex.org/W6747814933","https://openalex.org/W6755681954","https://openalex.org/W6787907751"],"related_works":["https://openalex.org/W3004362061","https://openalex.org/W4297665406","https://openalex.org/W2364622490","https://openalex.org/W2042515040","https://openalex.org/W2383986884","https://openalex.org/W2356141508","https://openalex.org/W2544043553","https://openalex.org/W2749962643","https://openalex.org/W2546284597","https://openalex.org/W2390807153"],"abstract_inverted_index":{"The":[0,62,75,99,119],"continuing":[1],"advancement":[2],"of":[3,35,60],"the":[4,21,33,45,81,85,105,128],"neural":[5],"networks":[6],"based":[7,68],"techniques":[8],"led":[9],"to":[10],"their":[11,36],"exploitation":[12],"in":[13,51],"many":[14],"applications,":[15],"such":[16],"as":[17],"computer":[18],"vision":[19],"and":[20,58,84,107,111],"natural":[22],"language":[23],"processing":[24],"systems":[25,57],"where":[26],"they":[27],"provide":[28,44],"high":[29,37,89],"accuracy":[30],"results":[31],"at":[32,104],"cost":[34],"computational":[38],"complexity.":[39],"Hardware":[40],"implemented":[41],"AI":[42],"accelerators":[43],"needed":[46],"performance":[47],"improvement":[48],"for":[49,70,80],"applications":[50],"specific":[52],"areas,":[53],"including":[54],"robotics,":[55],"autonomous":[56],"internet":[59],"things.":[61],"current":[63],"study":[64],"presents":[65],"an":[66],"FPGA":[67],"accelerator":[69],"Convolutional":[71],"Neural":[72],"Networks":[73],"(CNN).":[74],"CNN":[76],"model":[77],"is":[78],"trained":[79],"MNIST":[82],"dataset":[83],"VHDL":[86],"design":[87],"targets":[88],"throughput,":[90],"low":[91],"power":[92],"while":[93],"using":[94],"only":[95],"on":[96,122],"chip":[97],"memory.":[98],"architecture":[100,120],"uses":[101],"parallel":[102],"computations":[103],"convolutional":[106],"fully":[108],"connected":[109],"layers":[110],"it":[112],"has":[113],"a":[114,123],"highly":[115],"pipelined":[116],"output":[117],"layer.":[118],"implementation":[121],"Xilinx":[124],"Virtex":[125],"VC707":[126],"validates":[127],"results.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
