{"id":"https://openalex.org/W2921931554","doi":"https://doi.org/10.1145/3295816.3295820","title":"Accelerating CNN computation","display_name":"Accelerating CNN computation","publication_year":2018,"publication_date":"2018-11-04","ids":{"openalex":"https://openalex.org/W2921931554","doi":"https://doi.org/10.1145/3295816.3295820","mag":"2921931554"},"language":"en","primary_location":{"id":"doi:10.1145/3295816.3295820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3295816.3295820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems","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/A5023667688","display_name":"Alexandre R. Vieira","orcid":"https://orcid.org/0000-0003-3392-6881"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210105462","display_name":"Lus\u00edada University of Lisbon","ror":"https://ror.org/00zjprf31","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210105462","https://openalex.org/I4401200244"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Alexandre Vieira","raw_affiliation_strings":["Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I4210105462","https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078717814","display_name":"Frederico Pratas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frederico Pratas","raw_affiliation_strings":["Synopsys, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Synopsys, Lisbon, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077537777","display_name":"Leonel Sousa","orcid":"https://orcid.org/0000-0002-8066-221X"},"institutions":[{"id":"https://openalex.org/I4210105462","display_name":"Lus\u00edada University of Lisbon","ror":"https://ror.org/00zjprf31","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210105462","https://openalex.org/I4401200244"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Leonel Sousa","raw_affiliation_strings":["Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I4210105462","https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024686169","display_name":"Aleksandar Ili\u0107","orcid":"https://orcid.org/0000-0002-8594-3539"},"institutions":[{"id":"https://openalex.org/I4210105462","display_name":"Lus\u00edada University of Lisbon","ror":"https://ror.org/00zjprf31","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210105462","https://openalex.org/I4401200244"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Aleksandar Ilic","raw_affiliation_strings":["Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I4210105462","https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023667688"],"corresponding_institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210105462"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17993428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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":0.8455953598022461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8198412656784058},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7441282868385315},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6066871285438538},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.566433846950531},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.49898290634155273},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.47345370054244995},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4489728808403015},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.44298145174980164},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4388110339641571},{"id":"https://openalex.org/keywords/gate-array","display_name":"Gate array","score":0.4297705590724945},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4121239185333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32562965154647827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17958155274391174}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8455953598022461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198412656784058},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7441282868385315},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6066871285438538},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.566433846950531},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.49898290634155273},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.47345370054244995},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4489728808403015},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.44298145174980164},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4388110339641571},{"id":"https://openalex.org/C114237110","wikidata":"https://www.wikidata.org/wiki/Q114901","display_name":"Gate array","level":3,"score":0.4297705590724945},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4121239185333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32562965154647827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17958155274391174},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3295816.3295820","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3295816.3295820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems","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":14,"referenced_works":["https://openalex.org/W1616970889","https://openalex.org/W2115639406","https://openalex.org/W2148461049","https://openalex.org/W2152417180","https://openalex.org/W2154865023","https://openalex.org/W2319920447","https://openalex.org/W2469490737","https://openalex.org/W2527036487","https://openalex.org/W2552005661","https://openalex.org/W2552194367","https://openalex.org/W2585560244","https://openalex.org/W2593245696","https://openalex.org/W6600277285","https://openalex.org/W6606002120"],"related_works":["https://openalex.org/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535","https://openalex.org/W4295935044"],"abstract_inverted_index":{"The":[0,116],"interest":[1],"in":[2,19,127,136],"developing":[3],"cognitive":[4],"aware":[5],"systems,":[6],"specially":[7],"for":[8,29,103,112],"vision":[9],"applications":[10],"based":[11],"on":[12,84],"artificial":[13],"neural":[14],"networks,":[15],"has":[16],"grown":[17],"exponentially":[18],"the":[20,30,132],"last":[21],"years.":[22],"While":[23],"high":[24,93],"performance":[25,133],"systems":[26],"are":[27],"key":[28],"success":[31],"of":[32,73,131],"current":[33],"Convolutional":[34],"Neural":[35],"Network":[36],"(CNN)":[37],"implementations,":[38],"there":[39],"is":[40,100],"a":[41,70,109,137,153],"trend":[42],"to":[43,47,54,77,123,145],"bring":[44],"these":[45],"capabilities":[46],"embedded":[48],"real-time":[49],"systems.":[50],"This":[51],"work":[52],"contributes":[53],"tackle":[55],"this":[56],"challenge":[57],"by":[58,125],"exploring":[59],"CNNs":[60,107],"design":[61],"space.":[62],"Namely,":[63],"it":[64],"combines":[65],"parameter":[66],"quantisation":[67],"techniques":[68],"with":[69,152],"proposed":[71,102,117],"set":[72],"CNN":[74],"architectural":[75],"transformations":[76,118],"reduce":[78,119],"resource":[79,105],"and":[80],"execution":[81,147],"time":[82,148],"costs":[83],"Field":[85],"Programmable":[86],"Gate":[87],"Array":[88],"(FPGA)":[89],"devices":[90],"while":[91],"maintaining":[92],"classification":[94],"accuracy.":[95],"An":[96],"hardware":[97],"mapping":[98],"methodology":[99],"also":[101],"deploying":[104],"constrained":[106],"into":[108],"reconfigurable":[110],"platform":[111,142],"efficient":[113],"algorithm":[114],"acceleration.":[115],"accuracy":[120],"loss":[121],"due":[122],"quantization":[124],"44%":[126],"average.":[128],"Also,":[129],"analysis":[130],"results":[134],"obtained":[135],"Central":[138],"Processing":[139],"Unit":[140],"(CPU)+FPGA":[141],"show":[143],"up":[144],"50%":[146],"reduction":[149],"when":[150],"compared":[151],"state-of-the-art":[154],"implementation.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
