{"id":"https://openalex.org/W4205667545","doi":"https://doi.org/10.1145/3473461","title":"Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse","display_name":"Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse","publication_year":2022,"publication_date":"2022-01-12","ids":{"openalex":"https://openalex.org/W4205667545","doi":"https://doi.org/10.1145/3473461"},"language":"en","primary_location":{"id":"doi:10.1145/3473461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473461","pdf_url":null,"source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-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/A5021633981","display_name":"Yandong Luo","orcid":"https://orcid.org/0000-0001-8239-0492"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yandong Luo","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":"https://orcid.org/0000-0001-8239-0492","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044516117","display_name":"Panni Wang","orcid":"https://orcid.org/0000-0001-8559-2727"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panni Wang","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054894631","display_name":"Shimeng Yu","orcid":"https://orcid.org/0000-0002-0068-3652"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shimeng Yu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.5301,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.60676826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"2","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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":0.9995999932289124,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.7495436668395996},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.7469183802604675},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.6193033456802368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48716041445732117},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.47287577390670776},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4634648859500885},{"id":"https://openalex.org/keywords/non-volatile-memory","display_name":"Non-volatile memory","score":0.45402365922927856},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.41057854890823364},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3750566840171814},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.26167112588882446},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2433527708053589},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.14261943101882935}],"concepts":[{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.7495436668395996},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.7469183802604675},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.6193033456802368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48716041445732117},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.47287577390670776},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4634648859500885},{"id":"https://openalex.org/C177950962","wikidata":"https://www.wikidata.org/wiki/Q10997658","display_name":"Non-volatile memory","level":2,"score":0.45402365922927856},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.41057854890823364},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3750566840171814},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.26167112588882446},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2433527708053589},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.14261943101882935}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3473461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473461","pdf_url":null,"source":{"id":"https://openalex.org/S96198239","display_name":"ACM Journal on Emerging Technologies in Computing Systems","issn_l":"1550-4832","issn":["1550-4832","1550-4840"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Emerging Technologies in Computing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317106","display_name":"Sony","ror":"https://ror.org/04wzv3n59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W614956578","https://openalex.org/W2038355886","https://openalex.org/W2554279936","https://openalex.org/W2583357209","https://openalex.org/W2585010444","https://openalex.org/W2596796514","https://openalex.org/W2613989746","https://openalex.org/W2786159202","https://openalex.org/W2787453651","https://openalex.org/W2796472956","https://openalex.org/W2803163155","https://openalex.org/W2884687835","https://openalex.org/W2900128795","https://openalex.org/W2912270587","https://openalex.org/W2913402275","https://openalex.org/W2914754358","https://openalex.org/W2921329602","https://openalex.org/W2954142406","https://openalex.org/W2963446207","https://openalex.org/W2965096498","https://openalex.org/W2983750276","https://openalex.org/W2997869757","https://openalex.org/W3005619596","https://openalex.org/W3005839508","https://openalex.org/W3010932008","https://openalex.org/W3012561096","https://openalex.org/W3033443178","https://openalex.org/W3046348588","https://openalex.org/W3090192181","https://openalex.org/W3137833672","https://openalex.org/W4226463392","https://openalex.org/W4253012315","https://openalex.org/W4300925636"],"related_works":["https://openalex.org/W3148568549","https://openalex.org/W361036515","https://openalex.org/W1648516568","https://openalex.org/W52283896","https://openalex.org/W1518256384","https://openalex.org/W2783549708","https://openalex.org/W2119025037","https://openalex.org/W2915176329","https://openalex.org/W2942190539","https://openalex.org/W2113742827"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"propose":[4],"a":[5],"hardware":[6],"accelerator":[7],"design":[8,37],"using":[9,43,111,146],"ferroelectric":[10],"transistor":[11],"(FeFET)-based":[12],"hybrid":[13],"precision":[14],"synapse":[15],"(HPS)":[16],"for":[17,28,33,130],"deep":[18],"neural":[19],"network":[20],"(DNN)":[21],"on-chip":[22,113],"training.":[23],"The":[24,99],"drain":[25,44,127],"erase":[26,128,148],"scheme":[27,129],"FeFET":[29,35,39,47,120,131],"programming":[30],"is":[31,102,122,136],"incorporated":[32],"both":[34],"HPS":[36],"and":[38,59,93],"buffer":[40,114,121],"design.":[41],"By":[42],"erase,":[45],"high-density":[46],"buffers":[48],"can":[49],"be":[50,78],"integrated":[51],"onchip":[52],"to":[53,88],"store":[54],"the":[55,63,74,89,117,133,144],"intermediate":[56],"input-output":[57],"activations":[58],"gradients,":[60],"which":[61],"reduces":[62],"energy":[64,75],"consuming":[65],"off-chip":[66],"DRAM":[67],"access.":[68],"Architectural":[69],"evaluation":[70],"results":[71],"show":[72],"that":[73],"efficiency":[76],"could":[77],"improved":[79],"by":[80,104,125,138],"1.2\u00d7":[81],"\u223c":[82,85,106,140],"2.1\u00d7,":[83],"3.9\u00d7":[84],"6.0\u00d7":[86],"compared":[87,108,142],"other":[90],"HPS-based":[91],"designs":[92,110,145],"emerging":[94],"non-volatile":[95],"memory":[96],"baselines,":[97],"respectively.":[98],"chip":[100,134],"area":[101,135],"reduced":[103,137],"19%":[105],"36%":[107],"with":[109,143],"SRAM":[112],"even":[115],"though":[116],"capacity":[118],"of":[119],"increased.":[123],"Besides,":[124],"utilizing":[126],"programming,":[132],"11%":[139],"28.5%":[141],"body":[147],"scheme.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
