{"id":"https://openalex.org/W2910442417","doi":"https://doi.org/10.1145/3287624.3287635","title":"AERIS","display_name":"AERIS","publication_year":2019,"publication_date":"2019-01-18","ids":{"openalex":"https://openalex.org/W2910442417","doi":"https://doi.org/10.1145/3287624.3287635","mag":"2910442417"},"language":"en","primary_location":{"id":"doi:10.1145/3287624.3287635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287624.3287635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Asia and South Pacific Design Automation Conference","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/A5053627404","display_name":"Jinshan Yue","orcid":"https://orcid.org/0000-0001-8234-7400"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinshan Yue","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045721867","display_name":"Yongpan Liu","orcid":"https://orcid.org/0000-0002-4892-2309"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongpan Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419036","display_name":"Fang Su","orcid":"https://orcid.org/0000-0001-5897-7998"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Su","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021027241","display_name":"Shuangchen Li","orcid":"https://orcid.org/0000-0002-0021-6907"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuangchen Li","raw_affiliation_strings":["University of California at Santa Barbara"],"affiliations":[{"raw_affiliation_string":"University of California at Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013718922","display_name":"Zhe Yuan","orcid":"https://orcid.org/0000-0002-4490-9908"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Yuan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422442","display_name":"Zhibo Wang","orcid":"https://orcid.org/0000-0003-4776-2881"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibo Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085072777","display_name":"Wenyu Sun","orcid":"https://orcid.org/0000-0002-4793-0972"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Sun","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764674","display_name":"Xueqing Li","orcid":"https://orcid.org/0000-0002-8051-3345"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqing Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023755254","display_name":"Huazhong Yang","orcid":"https://orcid.org/0000-0003-2421-353X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5053627404"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5961,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67300107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9959999918937683,"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/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.7966561317443848},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.7276100516319275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651480793952942},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5312150716781616},{"id":"https://openalex.org/keywords/electrical-efficiency","display_name":"Electrical efficiency","score":0.4235285818576813},{"id":"https://openalex.org/keywords/idle","display_name":"Idle","score":0.41188639402389526},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37435147166252136},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.34373682737350464},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.25547730922698975},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.19814598560333252},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1430223286151886}],"concepts":[{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7966561317443848},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.7276100516319275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651480793952942},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5312150716781616},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.4235285818576813},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.41188639402389526},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37435147166252136},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.34373682737350464},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.25547730922698975},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19814598560333252},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1430223286151886},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3287624.3287635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287624.3287635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7338539385","display_name":null,"funder_award_id":"61674094, 61720106013, 61874066","funder_id":"https://openalex.org/F4320335595","funder_display_name":"National Natural Science Foundation of China-Yunnan Joint Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327539","display_name":"Beijing Innovation Center for Future Chip","ror":null},{"id":"https://openalex.org/F4320335595","display_name":"National Natural Science Foundation of China-Yunnan Joint Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2085205847","https://openalex.org/W2091777687","https://openalex.org/W2155589054","https://openalex.org/W2164819109","https://openalex.org/W2267635276","https://openalex.org/W2300242332","https://openalex.org/W2508602506","https://openalex.org/W2585407525","https://openalex.org/W2613989746","https://openalex.org/W2627034335","https://openalex.org/W2724917037","https://openalex.org/W2744289854","https://openalex.org/W2784255400","https://openalex.org/W3099743262","https://openalex.org/W3118608800","https://openalex.org/W4234604932","https://openalex.org/W4243519499","https://openalex.org/W4254672563","https://openalex.org/W4323763291","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2054635671","https://openalex.org/W2545245183","https://openalex.org/W2017425642","https://openalex.org/W2350916061","https://openalex.org/W1970117475","https://openalex.org/W3161624601","https://openalex.org/W2078381924","https://openalex.org/W4206468571","https://openalex.org/W4210401887","https://openalex.org/W3188176114"],"abstract_inverted_index":{"ReRAM-based":[0,146],"processing-in-memory":[1],"(PIM)":[2],"architecture":[3,25],"is":[4,109,133],"a":[5,29,99,103,116],"promising":[6],"solution":[7],"for":[8,112,127,135,161],"deep":[9],"neural":[10],"networks":[11],"(NN),":[12],"due":[13,157],"to":[14,27,33,79,93,158],"its":[15],"high":[16],"energy":[17,44,82,137],"efficiency":[18,45,153],"and":[19,46,57,83,102,169,186],"small":[20],"footprint.":[21],"However,":[22],"traditional":[23],"PIM":[24],"has":[26],"use":[28],"separate":[30],"crossbar":[31],"array":[32],"store":[34],"either":[35],"positive":[36],"or":[37],"negative":[38],"(P/N)":[39],"weights,":[40],"which":[41],"limits":[42],"both":[43,81,95],"area":[47,84],"efficiency.":[48,66,85,138],"Even":[49],"worse,":[50],"imbalance":[51],"running":[52],"time":[53],"of":[54,166,184],"different":[55,162],"layers":[56],"idle":[58],"ADCs/DACs":[59],"even":[60],"lower":[61],"down":[62],"the":[63,123,177,181,193],"whole":[64],"system":[65],"This":[67],"paper":[68],"proposes":[69],"AERIS,":[70],"an":[71,88],"<u>A</u>rea/<u>E</u>nergy-efficient":[72],"1T2R":[73,90,170],"<u>R</u>eRAM":[74],"based":[75],"processing-<u>I</u>n-memory":[76],"NN":[77,188],"<u>S</u>ystem-on-a-chip":[78],"enhance":[80],"We":[86],"propose":[87],"area-efficient":[89],"ReRAM":[91,171,185],"structure":[92],"represent":[94],"P/N":[96],"weights":[97],"in":[98,155,192],"single":[100],"array,":[101],"reference":[104],"current":[105],"cancelling":[106],"scheme":[107],"(RCS)":[108],"also":[110],"presented":[111],"better":[113],"accuracy.":[114],"Moreover,":[115],"layer-balance":[117,159],"scheduling":[118,160],"strategy,":[119],"as":[120,122,131],"well":[121],"power":[124,164],"gating":[125,165],"technique":[126],"interface":[128,167],"circuits,":[129,168],"such":[130],"ADCs/DACs,":[132],"adopted":[134],"higher":[136],"Experiment":[139],"results":[140],"show":[141],"that":[142,176],"compared":[143],"with":[144],"state-of-the-art":[145],"architectures,":[147],"AERIS":[148],"achieves":[149],"8.5x/1.3x":[150],"peak":[151],"energy/area":[152],"improvements":[154],"total,":[156],"layers,":[163],"circuits.":[172],"Furthermore,":[173],"we":[174],"demonstrate":[175],"proposed":[178],"RCS":[179],"compensates":[180],"non-ideal":[182],"factors":[183],"improves":[187],"accuracy":[189],"by":[190],"5.2%":[191],"XNOR":[194],"net":[195],"on":[196],"CIFAR-10":[197],"dataset.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-01-25T00:00:00"}
