{"id":"https://openalex.org/W4281670064","doi":"https://doi.org/10.1145/3518997.3531025","title":"Evaluating Performance of Spintronics-Based Spiking Neural Network Chips using Parallel Discrete Event Simulation","display_name":"Evaluating Performance of Spintronics-Based Spiking Neural Network Chips using Parallel Discrete Event Simulation","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4281670064","doi":"https://doi.org/10.1145/3518997.3531025"},"language":"en","primary_location":{"id":"doi:10.1145/3518997.3531025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3518997.3531025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","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/A5074078780","display_name":"Elkin Cruz-Camacho","orcid":"https://orcid.org/0000-0003-3102-3187"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elkin Cruz-Camacho","raw_affiliation_strings":["Rensselaer Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028696491","display_name":"Siyuan Qian","orcid":"https://orcid.org/0000-0002-7562-3689"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyuan Qian","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080508786","display_name":"Ankit Shukla","orcid":"https://orcid.org/0000-0002-0068-7979"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankit Shukla","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089195359","display_name":"Neil McGlohon","orcid":"https://orcid.org/0000-0001-8304-4911"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil McGlohon","raw_affiliation_strings":["Rensselaer Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041129182","display_name":"Shaloo Rakheja","orcid":"https://orcid.org/0000-0001-7501-275X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaloo Rakheja","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061545857","display_name":"Christopher D. Carothers","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher D. Carothers","raw_affiliation_strings":["Rensselaer Polytechnic Institute, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074078780"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51580786,"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":"69","last_page":"80"},"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":0.9983999729156494,"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":0.995199978351593,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9625290036201477},{"id":"https://openalex.org/keywords/spintronics","display_name":"Spintronics","score":0.833924412727356},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7553357481956482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632780909538269},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5490678548812866},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4888974726200104},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4791530966758728},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4666082262992859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4430040419101715},{"id":"https://openalex.org/keywords/non-volatile-memory","display_name":"Non-volatile memory","score":0.42719975113868713},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.41150760650634766},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3679695725440979},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35814762115478516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2468678057193756},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.240711510181427},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.20500943064689636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.204441636800766},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12836766242980957}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9625290036201477},{"id":"https://openalex.org/C207999682","wikidata":"https://www.wikidata.org/wiki/Q258659","display_name":"Spintronics","level":3,"score":0.833924412727356},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7553357481956482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632780909538269},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5490678548812866},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4888974726200104},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4791530966758728},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4666082262992859},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4430040419101715},{"id":"https://openalex.org/C177950962","wikidata":"https://www.wikidata.org/wiki/Q10997658","display_name":"Non-volatile memory","level":2,"score":0.42719975113868713},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41150760650634766},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3679695725440979},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35814762115478516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2468678057193756},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.240711510181427},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.20500943064689636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.204441636800766},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12836766242980957},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C82217956","wikidata":"https://www.wikidata.org/wiki/Q184207","display_name":"Ferromagnetism","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3518997.3531025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3518997.3531025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W615489132","https://openalex.org/W1974534679","https://openalex.org/W1976533090","https://openalex.org/W1997967900","https://openalex.org/W2017710077","https://openalex.org/W2040429262","https://openalex.org/W2043679829","https://openalex.org/W2089867526","https://openalex.org/W2147800946","https://openalex.org/W2190212978","https://openalex.org/W2296636214","https://openalex.org/W2332895340","https://openalex.org/W2388062505","https://openalex.org/W2558350234","https://openalex.org/W2612701173","https://openalex.org/W2783525259","https://openalex.org/W2790585029","https://openalex.org/W2896285731","https://openalex.org/W2991162359","https://openalex.org/W3010394536","https://openalex.org/W3046016807","https://openalex.org/W3098917398","https://openalex.org/W3101398840","https://openalex.org/W3128525315","https://openalex.org/W3166694739","https://openalex.org/W4206466197"],"related_works":["https://openalex.org/W3089892344","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W4288055417","https://openalex.org/W4287758233","https://openalex.org/W2960220682","https://openalex.org/W4205804651","https://openalex.org/W3136467750","https://openalex.org/W2885510266"],"abstract_inverted_index":{"It":[0],"has":[1],"long":[2],"been":[3,41],"said":[4],"that":[5,32,63],"neuromorphic":[6,59],"computing":[7,25],"will":[8,19],"yield":[9],"enormous":[10],"energy":[11],"improvements":[12],"on":[13],"machine":[14],"learning":[15],"based":[16],"computations":[17],"and":[18,89],"be":[20,92],"part":[21],"of":[22,51,67],"the":[23,49,65,70,75],"next":[24],"revolution.":[26],"Yet,":[27],"how":[28],"likely":[29],"is":[30],"it":[31],"these":[33],"goals":[34],"are":[35],"met":[36],"once":[37],"hardware-level":[38],"constraints":[39],"have":[40,74],"accounted":[42],"for?":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"benchmark":[48],"performance":[50],"a":[52,95],"spintronics":[53],"hardware":[54],"platform":[55],"designed":[56],"for":[57],"handling":[58],"tasks.":[60],"Spintronics":[61],"devices":[62],"use":[64],"spin":[66],"electrons":[68],"as":[69],"information":[71],"state":[72],"variable":[73],"potential":[76],"to":[77],"emulate":[78],"neuro-synaptic":[79],"dynamics":[80],"in":[81],"hardware.":[82],"Unlike":[83],"their":[84],"CMOS":[85],"counterparts,":[86],"spintronics-based":[87],"neurons":[88],"synapses":[90],"can":[91],"realized":[93],"within":[94],"compact":[96],"form-factor,":[97],"while":[98],"operating":[99],"at":[100],"ultra-low":[101],"energy-delay":[102],"point.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
