{"id":"https://openalex.org/W3090049941","doi":"https://doi.org/10.1109/iscas45731.2020.9181001","title":"TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training","display_name":"TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3090049941","doi":"https://doi.org/10.1109/iscas45731.2020.9181001","mag":"3090049941"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9181001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9181001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.05197","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028081842","display_name":"Reza Hojabr","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["IR","US"],"is_corresponding":false,"raw_author_name":"Reza Hojabr","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran; School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran; School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672","https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018444283","display_name":"Kamyar Givaki","orcid":"https://orcid.org/0000-0002-1194-1354"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kamyar Givaki","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070267059","display_name":"Kossar Pourahmadi","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kossar Pourahmadi","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089166523","display_name":"Parsa Nooralinejad","orcid":"https://orcid.org/0009-0004-2546-3682"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Parsa Nooralinejad","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091782280","display_name":"Ahmad Khonsari","orcid":"https://orcid.org/0000-0002-8669-4001"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I4210146419","display_name":"Institute for Research in Fundamental Sciences","ror":"https://ror.org/04xreqs31","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210146419"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ahmad Khonsari","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran; School of Computer Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran; School of Computer Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran","institution_ids":["https://openalex.org/I4210146419","https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043762973","display_name":"Dara Rahmati","orcid":"https://orcid.org/0000-0003-0104-4016"},"institutions":[{"id":"https://openalex.org/I4210146419","display_name":"Institute for Research in Fundamental Sciences","ror":"https://ror.org/04xreqs31","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210146419"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Dara Rahmati","raw_affiliation_strings":["School of Computer Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran","institution_ids":["https://openalex.org/I4210146419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012903661","display_name":"M. Hassan Najafi","orcid":"https://orcid.org/0000-0002-4655-6229"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Hassan Najafi","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68972585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9925000071525574,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9811999797821045,"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/training","display_name":"Training (meteorology)","score":0.6354418396949768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350526809692383},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6269094347953796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.454422265291214},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11445066332817078}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6354418396949768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350526809692383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6269094347953796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.454422265291214},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11445066332817078},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas45731.2020.9181001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9181001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.05197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.05197","pdf_url":"https://arxiv.org/pdf/2010.05197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.05197","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.05197","pdf_url":"https://arxiv.org/pdf/2010.05197","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2067523571","https://openalex.org/W2112796928","https://openalex.org/W2152839228","https://openalex.org/W2289252105","https://openalex.org/W2343308186","https://openalex.org/W2469490737","https://openalex.org/W2513554817","https://openalex.org/W2516141709","https://openalex.org/W2524428287","https://openalex.org/W2533121491","https://openalex.org/W2563587242","https://openalex.org/W2565851976","https://openalex.org/W2612076670","https://openalex.org/W2613989746","https://openalex.org/W2625457103","https://openalex.org/W2627034335","https://openalex.org/W2750822049","https://openalex.org/W2787513570","https://openalex.org/W2790925711","https://openalex.org/W2883899390","https://openalex.org/W2888842187","https://openalex.org/W2910507280","https://openalex.org/W2944948997","https://openalex.org/W2962786581","https://openalex.org/W2963367920","https://openalex.org/W2963594949","https://openalex.org/W2964164125","https://openalex.org/W3024621361","https://openalex.org/W4212788319","https://openalex.org/W4240168186","https://openalex.org/W4247198796","https://openalex.org/W6727208969","https://openalex.org/W6748319235"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W2358668433","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Emerging":[0],"intelligent":[1],"embedded":[2],"devices":[3],"rely":[4],"on":[5,88,132],"Deep":[6],"Neural":[7],"Networks":[8],"(DNNs)":[9],"to":[10,13,25,44,65,70,139],"be":[11],"able":[12],"interact":[14],"with":[15,22],"the":[16,23,49,52,67,79,105,110,115,154],"real-world":[17],"environment.":[18],"This":[19],"interaction":[20],"comes":[21],"ability":[24,69],"retrain":[26],"DNNs,":[27],"since":[28],"environmental":[29],"conditions":[30],"change":[31],"continuously":[32],"in":[33,114],"time.":[34],"Stochastic":[35],"Gradient":[36],"Descent":[37],"(SGD)":[38],"is":[39],"a":[40,62,71,95,119,140],"widely":[41],"used":[42,113],"algorithm":[43,81],"train":[45],"DNNs":[46],"by":[47,77,108],"optimizing":[48],"parameters":[50],"over":[51,153],"training":[53,68,157],"data":[54],"iteratively.":[55],"In":[56],"this":[57,89],"work,":[58],"first":[59],"we":[60,92],"present":[61],"novel":[63],"approach":[64,91,121],"add":[66],"baseline":[72],"DNN":[73,99,106,156],"accelerator":[74,97],"(inference":[75],"only)":[76],"splitting":[78],"SGD":[80],"into":[82],"simple":[83],"computational":[84],"elements.":[85],"Then,":[86],"based":[87],"heuristic":[90],"propose":[93],"TaxoNN,":[94],"light-weight":[96],"for":[98],"training.":[100],"TaxoNN":[101,130,144],"can":[102],"easily":[103],"tune":[104],"weights":[107],"reusing":[109],"hardware":[111],"resources":[112],"inference":[116],"process":[117],"using":[118],"time-multiplexing":[120],"and":[122,149],"low-bitwidth":[123],"units.":[124],"Our":[125],"experimental":[126],"results":[127],"show":[128],"that":[129],"delivers,":[131],"average,":[133],"0.97%":[134],"higher":[135],"misclassification":[136],"rate":[137],"compared":[138],"full-precision":[141],"implementation.":[142],"Moreover,":[143],"provides":[145],"2.1\u00d7":[146],"power":[147],"saving":[148],"1.65\u00d7":[150],"area":[151],"reduction":[152],"state-of-the-art":[155],"accelerator.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
