{"id":"https://openalex.org/W2799211757","doi":"https://doi.org/10.23919/date.2018.8342046","title":"Multi-precision convolutional neural networks on heterogeneous hardware","display_name":"Multi-precision convolutional neural networks on heterogeneous hardware","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2799211757","doi":"https://doi.org/10.23919/date.2018.8342046","mag":"2799211757"},"language":"en","primary_location":{"id":"doi:10.23919/date.2018.8342046","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.coventry.ac.uk/ws/files/23064578/Binder1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040815572","display_name":"Sam Amiri","orcid":"https://orcid.org/0009-0002-9491-530X"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sam Amiri","raw_affiliation_strings":["Faculty of Engineering, University of Bristol, Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000075032","display_name":"Mohammad Hosseinabady","orcid":"https://orcid.org/0000-0003-3989-4999"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohammad Hosseinabady","raw_affiliation_strings":["Faculty of Engineering, University of Bristol, Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020200003","display_name":"Simon McIntosh\u2010Smith","orcid":"https://orcid.org/0000-0002-5312-0378"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon McIntosh-Smith","raw_affiliation_strings":["Faculty of Engineering, University of Bristol, Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005255540","display_name":"Jose Nunez\u2010Yanez","orcid":"https://orcid.org/0000-0002-5153-5481"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jose Nunez-Yanez","raw_affiliation_strings":["Faculty of Engineering, University of Bristol, Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Bristol, Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040815572"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":0.85,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78641054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"424"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.995199978351593,"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":0.8346056938171387},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.742713212966919},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7199098467826843},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6688483357429504},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.666799008846283},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6218905448913574},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.5154193639755249},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5072709918022156},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4161284565925598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40855395793914795},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3956601619720459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25607824325561523},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09413692355155945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346056938171387},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.742713212966919},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7199098467826843},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6688483357429504},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.666799008846283},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6218905448913574},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.5154193639755249},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5072709918022156},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4161284565925598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40855395793914795},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3956601619720459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25607824325561523},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09413692355155945},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.23919/date.2018.8342046","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/e85f3508-bb08-411b-aca1-eb29e61ca60a","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/e85f3508-bb08-411b-aca1-eb29e61ca60a","pdf_url":"https://pure.coventry.ac.uk/ws/files/23064578/Binder1.pdf","source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Amiri, S, Hosseinabady, M, McIntosh-Smith, S & Nunez-Yanez, J 2018, Multi-precision convolutional neural networks on heterogeneous hardware. in Design, Automation & Test in Europe Conference & Exhibition (DATE). Date Proceedings , IEEE, pp. 419-424, DATE - Design, Automation and Test in Europe Conference, Dresden, Germany, 19/03/18. https://doi.org/10.23919/DATE.2018.8342046","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/7fe1a9dc-c615-43f5-b9b2-d6f72476747a","is_oa":true,"landing_page_url":null,"pdf_url":"https://research-information.bris.ac.uk/en/publications/7fe1a9dc-c615-43f5-b9b2-d6f72476747a","source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research-information.bris.ac.uk:publications/7fe1a9dc-c615-43f5-b9b2-d6f72476747a","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/7fe1a9dc-c615-43f5-b9b2-d6f72476747a","pdf_url":"https://research-information.bris.ac.uk/files/153793457/Jose_Nunez_Yanez_Multi_Precision_Convolutional_Neural_Networks_on_Heterogeneous_Hardware.pdf","source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Amiri, S, Hosseinabady, M, McIntosh-Smith, S & Nunez-Yanez, J 2018, Multi-precision convolutional neural networks on heterogeneous hardware. in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018. Institute of Electrical and Electronics Engineers (IEEE), pp. 419-424. https://doi.org/10.23919/DATE.2018.8342046","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/e85f3508-bb08-411b-aca1-eb29e61ca60a","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/multiprecision-convolutional-neural-networks-on-heterogeneous-hardware(e85f3508-bb08-411b-aca1-eb29e61ca60a).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/e85f3508-bb08-411b-aca1-eb29e61ca60a","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/e85f3508-bb08-411b-aca1-eb29e61ca60a","pdf_url":"https://pure.coventry.ac.uk/ws/files/23064578/Binder1.pdf","source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Amiri, S, Hosseinabady, M, McIntosh-Smith, S & Nunez-Yanez, J 2018, Multi-precision convolutional neural networks on heterogeneous hardware. in Design, Automation & Test in Europe Conference & Exhibition (DATE). Date Proceedings , IEEE, pp. 419-424, DATE - Design, Automation and Test in Europe Conference, Dresden, Germany, 19/03/18. https://doi.org/10.23919/DATE.2018.8342046","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2657170112","display_name":null,"funder_award_id":"EP/L00321X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2722607983","display_name":null,"funder_award_id":"EP/N002539/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799211757.pdf","grobid_xml":"https://content.openalex.org/works/W2799211757.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1530262073","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2123045220","https://openalex.org/W2260663238","https://openalex.org/W2279098554","https://openalex.org/W2319920447","https://openalex.org/W2565125333","https://openalex.org/W2583831344","https://openalex.org/W2963382180","https://openalex.org/W2963911037","https://openalex.org/W2964299589","https://openalex.org/W3102169921","https://openalex.org/W6631660994"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2316202402","https://openalex.org/W3028347934","https://openalex.org/W2185692674","https://openalex.org/W4391382578","https://openalex.org/W4280610722","https://openalex.org/W3185228140"],"abstract_inverted_index":{"Fully":[0],"binarised":[1,70,85],"convolutional":[2],"neural":[3],"networks":[4],"(CNNs)":[5],"deliver":[6],"very":[7],"high":[8],"inference":[9,97,171],"performance":[10],"using":[11,49],"single-bit":[12],"weights":[13],"and":[14,37,71,93,114,135,151,168],"activations,":[15],"together":[16],"with":[17],"XNOR":[18],"type":[19],"operators":[20],"for":[21],"the":[22,99,104,119,139,148,154,161,169],"kernel":[23],"convolutions.":[24],"Current":[25],"research":[26],"shows":[27],"that":[28,67,153],"full":[29],"binarisation":[30],"results":[31],"in":[32,76],"a":[33,63,69,72,77,111,130,143],"degradation":[34],"of":[35],"accuracy":[36,54,134,163],"different":[38],"approaches":[39],"to":[40,95,159,166,175],"tackle":[41],"this":[42],"issue":[43],"are":[44],"being":[45],"investigated":[46],"such":[47],"as":[48,53,147],"more":[50],"complex":[51],"models":[52],"reduces.":[55],"This":[56],"paper":[57],"proposes":[58],"an":[59,90],"alternative":[60],"based":[61],"on":[62,81],"multi-precision":[64,155],"CNN":[65,75,86],"frame-work":[66],"combines":[68],"floating":[73,105],"point":[74,106],"pipeline":[78],"configuration":[79],"deployed":[80],"heterogeneous":[82],"hardware.":[83],"The":[84],"is":[87,108,123,157],"mapped":[88,109],"onto":[89,110],"FPGA":[91],"device":[92,113,146],"used":[94],"perform":[96],"over":[98],"whole":[100],"input":[101],"set":[102],"while":[103],"network":[107,156],"CPU":[112,170],"performs":[115],"re-inference":[116],"only":[117],"when":[118],"classification":[120],"confidence":[121,127],"level":[122],"low.":[124],"A":[125],"light-weight":[126],"mechanism":[128],"enables":[129],"flexible":[131],"trade-off":[132],"between":[133],"throughput.":[136],"To":[137],"demonstrate":[138],"concept,":[140],"we":[141],"choose":[142],"Zynq":[144],"7020":[145],"hardware":[149],"target":[150],"show":[152],"able":[158],"increase":[160],"BNN":[162],"from":[164,173],"78.5%":[165],"82.5%":[167],"speed":[172],"29.68":[174],"90.82":[176],"images/sec.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}
