{"id":"https://openalex.org/W4391382011","doi":"https://doi.org/10.1109/mwscas57524.2023.10405963","title":"QuickNN: Python Toolbox for Training and Optimizing ANN for Hardware Implementation","display_name":"QuickNN: Python Toolbox for Training and Optimizing ANN for Hardware Implementation","publication_year":2023,"publication_date":"2023-08-06","ids":{"openalex":"https://openalex.org/W4391382011","doi":"https://doi.org/10.1109/mwscas57524.2023.10405963"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas57524.2023.10405963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas57524.2023.10405963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5069930060","display_name":"Khaled Humood","orcid":"https://orcid.org/0000-0002-5275-6593"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Khaled Humood","raw_affiliation_strings":["School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017301291","display_name":"Alexander Serb","orcid":"https://orcid.org/0000-0002-8034-2398"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Serb","raw_affiliation_strings":["School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340285","display_name":"Shiwei Wang","orcid":"https://orcid.org/0000-0002-5450-2108"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shiwei Wang","raw_affiliation_strings":["School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088089733","display_name":"Themis Prodromakis","orcid":"https://orcid.org/0000-0002-6267-6909"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Themis Prodromakis","raw_affiliation_strings":["School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh,Centre for Electronics Frontiers,Edinburgh,The United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, The United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069930060"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55790157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"531","last_page":"535"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9966999888420105,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.994700014591217,"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/toolbox","display_name":"Toolbox","score":0.8284207582473755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7818520665168762},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6825460195541382},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6355127692222595},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6351037621498108},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.517505407333374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4760306179523468},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4692753851413727},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4655737578868866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.457450807094574},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44445693492889404},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42296379804611206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.168777197599411},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16475507616996765},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1433250904083252}],"concepts":[{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.8284207582473755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818520665168762},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6825460195541382},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6355127692222595},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6351037621498108},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.517505407333374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4760306179523468},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4692753851413727},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4655737578868866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.457450807094574},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44445693492889404},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42296379804611206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.168777197599411},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16475507616996765},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1433250904083252}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas57524.2023.10405963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas57524.2023.10405963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6097759542","display_name":null,"funder_award_id":"EP/R024642/1","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1649885719","https://openalex.org/W1902934009","https://openalex.org/W2013305145","https://openalex.org/W2101234009","https://openalex.org/W2112796928","https://openalex.org/W2140886546","https://openalex.org/W2143612262","https://openalex.org/W2300242332","https://openalex.org/W2314470091","https://openalex.org/W2782046614","https://openalex.org/W2898994846","https://openalex.org/W2912776959","https://openalex.org/W2957201328","https://openalex.org/W2963526839","https://openalex.org/W2964263004","https://openalex.org/W2969331319","https://openalex.org/W3081302630","https://openalex.org/W3089558791","https://openalex.org/W3107996795","https://openalex.org/W3161042420","https://openalex.org/W4212774754","https://openalex.org/W4224223814","https://openalex.org/W4301409763","https://openalex.org/W4375869345","https://openalex.org/W6675354045","https://openalex.org/W6705165511","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2549786917","https://openalex.org/W3204758414","https://openalex.org/W4385524141","https://openalex.org/W4297776111","https://openalex.org/W3018979822","https://openalex.org/W3026616975","https://openalex.org/W2989784533","https://openalex.org/W4288018014","https://openalex.org/W2996058201","https://openalex.org/W3127679336"],"abstract_inverted_index":{"Realizing":[0],"deep":[1],"neural":[2,30,43,76,82],"networks":[3,31,77],"in":[4,143,148],"hardware":[5,34,85],"is":[6,141],"becoming":[7],"increasingly":[8],"challenging":[9],"as":[10],"applications":[11],"require":[12],"ever":[13],"more":[14],"layers":[15],"and":[16,20,40,57,72,97],"weights,":[17],"incurring":[18],"computational":[19],"storage":[21],"costs.":[22],"Current":[23],"approaches":[24],"lack":[25],"the":[26,38,90,104,116,119],"ability":[27],"to":[28,79,102,153],"customize":[29],"based":[32],"on":[33,109,118],"design":[35,95,128],"decisions":[36,96,108],"like":[37],"number":[39,54],"resolution":[41],"of":[42,55,92,106,127,132],"network":[44,51,83],"inputs,":[45],"binary/ternary":[46],"weight":[47,137],"quantization,":[48,50],"layer":[49],"structure":[52],"-including":[53],"layers-":[56],"activation":[58],"functions.":[59],"In":[60,111],"this":[61,112],"work,":[62],"we":[63,114],"present":[64],"QuickNN,":[65],"a":[66,125,134],"Python":[67],"open-source":[68],"toolbox":[69,88,117],"for":[70,124],"training":[71],"optimizing":[73],"multi-layer":[74],"perception":[75],"designed":[78],"aid":[80],"artificial":[81],"(ANN)":[84],"designers.":[86],"The":[87],"allows":[89],"customization":[91],"most":[93],"hardware-related":[94],"can":[98],"provide":[99],"rapid":[100],"results":[101],"assess":[103],"impact":[105],"these":[107],"performance.":[110],"paper":[113],"demonstrate":[115],"MNIST":[120],"dataset,":[121],"evaluating":[122],"accuracy":[123],"range":[126],"choices.":[129],"By":[130],"way":[131],"example,":[133],"novel":[135],"hybrid":[136],"ternary":[138],"quantization":[139],"model":[140],"implemented":[142],"QuickNN":[144],"that":[145],"shows":[146],"improvement":[147],"classification":[149],"performance":[150],"when":[151],"compared":[152],"state-of-art.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
