{"id":"https://openalex.org/W2001480795","doi":"https://doi.org/10.1145/2744769.2744795","title":"An EDA framework for large scale hybrid neuromorphic computing systems","display_name":"An EDA framework for large scale hybrid neuromorphic computing systems","publication_year":2015,"publication_date":"2015-06-02","ids":{"openalex":"https://openalex.org/W2001480795","doi":"https://doi.org/10.1145/2744769.2744795","mag":"2001480795"},"language":"en","primary_location":{"id":"doi:10.1145/2744769.2744795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2744795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101491962","display_name":"Wei Wen","orcid":"https://orcid.org/0009-0004-4662-7703"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wen","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059312660","display_name":"Chi-Ruo Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Ruo Wu","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087454088","display_name":"Xiaofang Hu","orcid":"https://orcid.org/0000-0003-3764-2640"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaofang Hu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000748332","display_name":"Beiye Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beiye Liu","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062800747","display_name":"Tsung-Yi Ho","orcid":"https://orcid.org/0000-0001-7348-5625"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Yi Ho","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353857","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-3811-2062"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA","[University of Pittsburgh, Pittsburgh, PA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"[University of Pittsburgh, Pittsburgh, PA]","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.294,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99197725,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/crossbar-switch","display_name":"Crossbar switch","score":0.9489017128944397},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.9487621784210205},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9078391194343567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735065758228302},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6182430386543274},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5907120704650879},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5672475099563599},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44606131315231323},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4110194444656372},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.40798765420913696},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4031854271888733},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3849963843822479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23247277736663818},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.22357285022735596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1474076807498932},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12434899806976318},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07808983325958252}],"concepts":[{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.9489017128944397},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.9487621784210205},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9078391194343567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735065758228302},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6182430386543274},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5907120704650879},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5672475099563599},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44606131315231323},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4110194444656372},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.40798765420913696},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4031854271888733},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3849963843822479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23247277736663818},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.22357285022735596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1474076807498932},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12434899806976318},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07808983325958252},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1145/2744769.2744795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2744795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1682219457","display_name":null,"funder_award_id":"FA8750-15-2-0048","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1528551882","https://openalex.org/W1976075132","https://openalex.org/W2009403011","https://openalex.org/W2018351041","https://openalex.org/W2055789895","https://openalex.org/W2103421153","https://openalex.org/W2107012212","https://openalex.org/W2108721910","https://openalex.org/W2114871550","https://openalex.org/W2117278010","https://openalex.org/W2121947440","https://openalex.org/W2132914434","https://openalex.org/W2137890965","https://openalex.org/W2141125852","https://openalex.org/W2153580689","https://openalex.org/W2154203817","https://openalex.org/W2167190617","https://openalex.org/W3151205559","https://openalex.org/W4247567994","https://openalex.org/W6682928080"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W4292697011","https://openalex.org/W3207218810","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2086672837","https://openalex.org/W2016922062","https://openalex.org/W4367187682","https://openalex.org/W2909534142","https://openalex.org/W3215957123"],"abstract_inverted_index":{"In":[0,70],"implementations":[1],"of":[2,49,67,96,106,121,135,145,149],"neuromorphic":[3],"computing":[4],"systems":[5],"(NCS),":[6],"memristor":[7,68,88,108,136],"and":[8,90,143],"its":[9],"crossbar":[10,44,111],"topology":[11],"have":[12,31],"been":[13],"widely":[14],"used":[15],"to":[16,38,42,102],"realize":[17],"fully":[18],"connected":[19],"neural":[20,24,51,98],"networks.":[21],"However,":[22],"many":[23],"networks":[25,52,99],"utilized":[26],"in":[27,110],"real":[28],"applications":[29],"often":[30],"a":[32,43],"sparse":[33],"connectivity,":[34],"which":[35],"is":[36,53],"hard":[37],"be":[39,60],"efficiently":[40],"mapped":[41],"structure.":[45],"Moreover,":[46],"the":[47,50,63,83,97,104,107,117,122,132,140,146,150],"scale":[48],"normally":[54],"much":[55],"larger":[56],"than":[57],"that":[58,80,86,127],"can":[59,81,129],"offered":[61],"by":[62,113],"latest":[64],"integration":[65],"technology":[66],"crossbars.":[69],"this":[71],"work,":[72],"we":[73],"propose":[74],"AutoNCS":[75,128],"--":[76],"an":[77],"EDA":[78],"framework":[79],"automate":[82],"NCS":[84],"designs":[85,148],"combine":[87],"crossbars":[89,137],"discrete":[91],"synapse":[92],"modules.":[93],"The":[94],"connections":[95],"are":[100],"clustered":[101],"improve":[103],"utilization":[105,133],"elements":[109],"structures":[112],"taking":[114],"into":[115],"account":[116],"physical":[118,147],"design":[119],"cost":[120],"NCS.":[123,151],"Our":[124],"results":[125],"show":[126],"substantially":[130],"enhance":[131],"efficiency":[134],"while":[138],"reducing":[139],"wirelength,":[141],"area":[142],"delay":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}