{"id":"https://openalex.org/W2296680219","doi":"https://doi.org/10.1109/aspdac.2016.7428023","title":"Thermal optimization for memristor-based hybrid neuromorphic computing systems","display_name":"Thermal optimization for memristor-based hybrid neuromorphic computing systems","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2296680219","doi":"https://doi.org/10.1109/aspdac.2016.7428023","mag":"2296680219"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2016.7428023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2016.7428023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)","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/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":true,"raw_author_name":"Chi-Ruo Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","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":["Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","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/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Yi Ho","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"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":["Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA","Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059312660"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.7351,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73604567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"279"},"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":0.998199999332428,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9921000003814697,"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":0.9446383714675903},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.7544928789138794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829108595848083},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5448992848396301},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49912357330322266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4881930947303772},{"id":"https://openalex.org/keywords/von-neumann-architecture","display_name":"Von Neumann architecture","score":0.45536038279533386},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4328627586364746},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38735467195510864},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36746400594711304},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3467216491699219},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2633652687072754},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23434385657310486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22707507014274597},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18530941009521484},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14770421385765076}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9446383714675903},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.7544928789138794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829108595848083},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5448992848396301},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49912357330322266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4881930947303772},{"id":"https://openalex.org/C80469333","wikidata":"https://www.wikidata.org/wiki/Q189088","display_name":"Von Neumann architecture","level":2,"score":0.45536038279533386},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4328627586364746},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38735467195510864},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36746400594711304},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3467216491699219},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2633652687072754},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23434385657310486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22707507014274597},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18530941009521484},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14770421385765076},{"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:10.1109/aspdac.2016.7428023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2016.7428023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1528551882","https://openalex.org/W1976075132","https://openalex.org/W1977545325","https://openalex.org/W1993276286","https://openalex.org/W2000749173","https://openalex.org/W2001480795","https://openalex.org/W2009403011","https://openalex.org/W2018351041","https://openalex.org/W2025535306","https://openalex.org/W2037868818","https://openalex.org/W2067472652","https://openalex.org/W2074357625","https://openalex.org/W2108721910","https://openalex.org/W2117278010","https://openalex.org/W2127277527","https://openalex.org/W2138674422","https://openalex.org/W2141125852","https://openalex.org/W2153580689","https://openalex.org/W2162651880","https://openalex.org/W2167190617","https://openalex.org/W2323986115","https://openalex.org/W3151205559","https://openalex.org/W4210493863","https://openalex.org/W4213060235","https://openalex.org/W4231924340","https://openalex.org/W4247567994","https://openalex.org/W4253927484","https://openalex.org/W4256257554","https://openalex.org/W6676636679","https://openalex.org/W6680715401","https://openalex.org/W6682928080"],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W3207218810","https://openalex.org/W4292697011","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2909534142","https://openalex.org/W4367187682","https://openalex.org/W1940420793","https://openalex.org/W3215957123","https://openalex.org/W2549656885"],"abstract_inverted_index":{"Neuromorphic":[0],"computing":[1,27,71,156],"is":[2,54,118,158],"used":[3],"for":[4,58,152],"accelerating":[5],"the":[6,14,25,29,41,75,79,110,124,127,131,134,138,141,162,163,167,176],"computation":[7,47],"of":[8,16,40,81,112,116,126,133],"neural":[9],"network":[10,170],"which":[11,93,122],"can":[12,63,180],"simulate":[13],"brain":[15],"animal":[17],"and":[18,22,48,70],"composed":[19],"by":[20,166],"neurons":[21],"synapses.":[23],"However,":[24,101],"neuromorphic":[26,99,155],"with":[28],"traditional":[30],"computer":[31,76],"architecture":[32],"leads":[33],"to":[34,73,160],"serious":[35],"von":[36],"Neumann":[37],"bottleneck":[38],"because":[39],"gap":[42],"between":[43],"high":[44],"frequency":[45],"CPU":[46],"memory":[49],"access.":[50],"The":[51],"emerging":[52],"memristor":[53,117],"an":[55],"innovation":[56],"technology":[57],"future":[59],"VLSI":[60],"circuits":[61],"potentially":[62],"be":[64,181],"acted":[65],"as":[66,106,140],"both":[67],"data":[68],"storage":[69],"unit":[72],"transform":[74],"architecture.":[77],"Furthermore,":[78],"characteristics":[80],"memristors":[82],"include":[83],"low":[84],"programming":[85],"energy,":[86],"parallel":[87],"process,":[88],"small":[89],"footprint,":[90],"non-volatility,":[91],"etc,":[92],"have":[94],"attracted":[95],"significant":[96],"researches":[97],"on":[98],"computing.":[100],"some":[102],"important":[103],"issues":[104],"such":[105],"thermal":[107,115,132,139,149],"damage":[108],"defect":[109],"reliability":[111,125,164],"memristors.":[113],"High":[114],"a":[119,148],"critical":[120],"issue":[121,165],"impacts":[123],"systems.":[128],"To":[129],"estimate":[130],"memristor,":[135],"we":[136],"formulated":[137],"power":[142,178],"consumption":[143,179],"problem.":[144],"In":[145],"this":[146],"paper,":[147],"optimization":[150],"algorithm":[151],"memristor-based":[153],"hybrid":[154],"system":[157],"proposed":[159],"solve":[161],"incremental":[168],"cluster":[169],"flow.":[171],"Our":[172],"results":[173],"show":[174],"that":[175],"maximum":[177],"reduced":[182],"about":[183],"31%.":[184]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}