{"id":"https://openalex.org/W2782046614","doi":"https://doi.org/10.1109/tcad.2018.2789723","title":"NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning","display_name":"NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning","publication_year":2018,"publication_date":"2018-01-04","ids":{"openalex":"https://openalex.org/W2782046614","doi":"https://doi.org/10.1109/tcad.2018.2789723","mag":"2782046614"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2018.2789723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2018.2789723","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and 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/A5011351663","display_name":"Pai-Yu Chen","orcid":"https://orcid.org/0000-0002-9146-2192"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pai-Yu Chen","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-9146-2192","affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076031530","display_name":"Xiaochen Peng","orcid":"https://orcid.org/0000-0001-6148-7711"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaochen Peng","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"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/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shimeng Yu","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-0068-3652","affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":15.7021,"has_fulltext":false,"cited_by_count":637,"citation_normalized_percentile":{"value":0.99459813,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"37","issue":"12","first_page":"3067","last_page":"3080"},"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":0.9987999796867371,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8650611042976379},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.6931052803993225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6884902715682983},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4596950113773346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4395258128643036},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.421942800283432},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34271782636642456},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07631102204322815},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06766048073768616}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8650611042976379},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.6931052803993225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884902715682983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4596950113773346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4395258128643036},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.421942800283432},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34271782636642456},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07631102204322815},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06766048073768616},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2018.2789723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2018.2789723","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G471548034","display_name":null,"funder_award_id":"NSF-CCF-1552687","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5466162600","display_name":null,"funder_award_id":"NSF-CCF-1740225","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1542981317","https://openalex.org/W1875784636","https://openalex.org/W1937359183","https://openalex.org/W1946546377","https://openalex.org/W1976075132","https://openalex.org/W1991059746","https://openalex.org/W2010202670","https://openalex.org/W2016922062","https://openalex.org/W2026145098","https://openalex.org/W2040429262","https://openalex.org/W2049930603","https://openalex.org/W2087748124","https://openalex.org/W2104060931","https://openalex.org/W2107012212","https://openalex.org/W2112796928","https://openalex.org/W2117422822","https://openalex.org/W2130360162","https://openalex.org/W2138913040","https://openalex.org/W2150073849","https://openalex.org/W2152514935","https://openalex.org/W2153287508","https://openalex.org/W2162639668","https://openalex.org/W2288519604","https://openalex.org/W2334364695","https://openalex.org/W2338333993","https://openalex.org/W2346143906","https://openalex.org/W2433248078","https://openalex.org/W2462963692","https://openalex.org/W2468939918","https://openalex.org/W2508602506","https://openalex.org/W2510331918","https://openalex.org/W2512985564","https://openalex.org/W2518281301","https://openalex.org/W2554279936","https://openalex.org/W2561926108","https://openalex.org/W2588666075","https://openalex.org/W2593532349","https://openalex.org/W2594492285","https://openalex.org/W2607225320","https://openalex.org/W2736591611","https://openalex.org/W3024621361","https://openalex.org/W3101265958","https://openalex.org/W4236709213","https://openalex.org/W4249616338","https://openalex.org/W6696589972","https://openalex.org/W6705165511","https://openalex.org/W6733449940"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"Neuro-inspired":[0],"architectures":[1,51,176],"based":[2],"on":[3,128],"synaptic":[4],"memory":[5,161],"arrays":[6],"have":[7],"been":[8],"proposed":[9],"for":[10,177],"on-chip":[11],"acceleration":[12],"of":[13,49,66,142,156],"weighted":[14],"sum":[15],"and":[16,40,54,62,72,117,166,173,180],"weight":[17],"update":[18],"in":[19],"machine/deep":[20],"learning":[21,130,179],"algorithms.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26,152],"developed":[27],"NeuroSim,":[28,94],"a":[29,63,85,149],"circuit-level":[30,90,136],"macro":[31],"model":[32],"that":[33],"estimates":[34],"the":[35,45,70,105,112,120,129,135,140,154,157,168],"area,":[36],"latency,":[37],"dynamic":[38],"energy,":[39],"leakage":[41],"power":[42],"to":[43,88,111,119],"facilitate":[44],"design":[46,67],"space":[47],"exploration":[48],"neuro-inspired":[50],"with":[52,101],"mainstream":[53],"emerging":[55,159],"device":[56,73,106,109,164],"technologies.":[57],"NeuroSim":[58,76],"provides":[59],"flexible":[60],"interface":[61],"wide":[64],"variety":[65],"options":[68],"at":[69,139],"circuit":[71,113],"level.":[74],"Therefore,":[75],"can":[77,98],"be":[78,99],"used":[79],"by":[80],"neural":[81],"networks":[82],"(NNs)":[83],"as":[84,132,134,148],"supporting":[86],"tool":[87],"provide":[89],"performance":[91,137],"evaluation.":[92],"With":[93],"an":[95],"integrated":[96],"framework":[97],"built":[100],"hierarchical":[102],"organization":[103],"from":[104],"level":[107,114,122],"(synaptic":[108],"properties)":[110],"(array":[115],"architectures)":[116],"then":[118],"algorithm":[121],"(NN":[123],"topology),":[124],"enabling":[125],"instruction-accurate":[126],"evaluation":[127],"accuracy":[131],"well":[133],"metrics":[138],"run-time":[141],"online":[143,178],"learning.":[144],"Using":[145],"multilayer":[146],"perceptron":[147],"case-study":[150],"algorithm,":[151],"investigated":[153],"impact":[155],"\u201canalog\u201d":[158],"nonvolatile":[160],"(eNVM)'s":[162],"\u201cnonideal\u201d":[163],"properties":[165],"benchmarked":[167],"tradeoffs":[169],"between":[170],"SRAM,":[171],"digital,":[172],"analog":[174],"eNVM-based":[175],"offline":[181],"classification.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":41},{"year":2025,"cited_by_count":116},{"year":2024,"cited_by_count":103},{"year":2023,"cited_by_count":115},{"year":2022,"cited_by_count":102},{"year":2021,"cited_by_count":61},{"year":2020,"cited_by_count":56},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
