{"id":"https://openalex.org/W2886795736","doi":"https://doi.org/10.1109/prime.2018.8430335","title":"Improving Deep Learning with a customizable GPU-like FPGA-based accelerator","display_name":"Improving Deep Learning with a customizable GPU-like FPGA-based accelerator","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2886795736","doi":"https://doi.org/10.1109/prime.2018.8430335","mag":"2886795736"},"language":"en","primary_location":{"id":"doi:10.1109/prime.2018.8430335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prime.2018.8430335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)","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/A5003423885","display_name":"Mirko Gagliardi","orcid":null},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mirko Gagliardi","raw_affiliation_strings":["Department of Electrical Engineering and Information Technologies, University of Naples Federico II via Claudio 21, Napoli, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II via Claudio 21, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042051299","display_name":"Edoardo Fusella","orcid":"https://orcid.org/0000-0002-2039-0435"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Edoardo Fusella","raw_affiliation_strings":["Department of Electrical Engineering and Information Technologies, University of Naples Federico II via Claudio 21, Napoli, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II via Claudio 21, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088628660","display_name":"Alessandro Cilardo","orcid":"https://orcid.org/0000-0002-1685-8736"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Cilardo","raw_affiliation_strings":["Department of Electrical Engineering and Information Technologies, University of Naples Federico II via Claudio 21, Napoli, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II via Claudio 21, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08100833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"529","issue":null,"first_page":"273","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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":0.9972000122070312,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8371989727020264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8356128931045532},{"id":"https://openalex.org/keywords/multithreading","display_name":"Multithreading","score":0.8031469583511353},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.691811203956604},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6368206143379211},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.6293976306915283},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4638972282409668},{"id":"https://openalex.org/keywords/virtex","display_name":"Virtex","score":0.462363064289093},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4580075442790985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24760860204696655},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.19576776027679443},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13507431745529175}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8371989727020264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356128931045532},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.8031469583511353},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.691811203956604},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6368206143379211},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.6293976306915283},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4638972282409668},{"id":"https://openalex.org/C2777674469","wikidata":"https://www.wikidata.org/wiki/Q20741011","display_name":"Virtex","level":3,"score":0.462363064289093},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4580075442790985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24760860204696655},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.19576776027679443},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13507431745529175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prime.2018.8430335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prime.2018.8430335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1973747955","https://openalex.org/W2048266589","https://openalex.org/W2094756095","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2125203716","https://openalex.org/W2168231600","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2289252105","https://openalex.org/W2509065397","https://openalex.org/W2581082771","https://openalex.org/W3098357269","https://openalex.org/W6684859321"],"related_works":["https://openalex.org/W2544043553","https://openalex.org/W2546284597","https://openalex.org/W2348562861","https://openalex.org/W2540393334","https://openalex.org/W2138520521","https://openalex.org/W4248655967","https://openalex.org/W1983570530","https://openalex.org/W2062932566","https://openalex.org/W2390042878","https://openalex.org/W2085828379"],"abstract_inverted_index":{"An":[0],"ever":[1],"increasing":[2],"number":[3,32,38],"of":[4,19,33,39,44,61,71],"challenging":[5],"applications":[6],"are":[7],"being":[8],"approached":[9],"using":[10,128],"Deep":[11,84],"Learning,":[12],"obtaining":[13],"impressive":[14],"results":[15,91],"in":[16,109],"a":[17,30,36,53,93,129],"variety":[18],"different":[20,40,72],"domains.":[21],"However,":[22],"state-of-the-art":[23],"accuracy":[24],"requires":[25],"deep":[26],"neural":[27],"networks":[28],"with":[29,42],"larger":[31],"layers":[34],"and":[35,79,102,116],"huge":[37],"filters":[41],"millions":[43],"weights.":[45],"GPUand":[46],"FPGA-based":[47,87],"architectures":[48],"have":[49],"been":[50],"proposed":[51],"as":[52],"possible":[54],"solution":[55],"for":[56,83],"facing":[57],"this":[58,65],"enormous":[59],"demand":[60],"computing":[62],"resources.":[63],"In":[64],"paper,":[66],"we":[67],"investigate":[68],"the":[69,99,110],"adoption":[70],"architectural":[73],"features,":[74],"i.e.":[75],"SIMD":[76,100],"paradigm,":[77],"multithreading,":[78],"non-coherent":[80,130],"on-chip":[81,131],"memory":[82],"Learning":[85],"oriented":[86],"accelerator":[88],"designs.":[89],"Experimental":[90],"on":[92],"Xilinx":[94],"Virtex-7":[95],"FPGA":[96],"show":[97],"that":[98],"paradigm":[101],"multithreading":[103],"can":[104,125],"lead":[105],"to":[106,114,123],"an":[107],"improvement":[108],"execution":[111],"time":[112],"up":[113,122],"5\u00d7":[115],"3.5\u00d7,":[117],"respectively.":[118],"A":[119],"further":[120],"enhancement":[121],"1.75\u00d7":[124],"be":[126],"obtained":[127],"memory.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}