{"id":"https://openalex.org/W3001056370","doi":"https://doi.org/10.1109/newcas44328.2019.8961273","title":"MoNA: Mobile Neural Architecture with Reconfigurable Parallel Dimensions","display_name":"MoNA: Mobile Neural Architecture with Reconfigurable Parallel Dimensions","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3001056370","doi":"https://doi.org/10.1109/newcas44328.2019.8961273","mag":"3001056370"},"language":"en","primary_location":{"id":"doi:10.1109/newcas44328.2019.8961273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas44328.2019.8961273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 17th IEEE International New Circuits and Systems Conference (NEWCAS)","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/A5048871266","display_name":"Weiwei Wu","orcid":"https://orcid.org/0000-0001-9172-6955"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"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":"Weiwei Wu","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University,Beijing,China,100084","Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054524841","display_name":"Shouyi Yin","orcid":"https://orcid.org/0000-0003-2309-572X"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"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":"Shouyi Yin","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University,Beijing,China,100084","Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038947607","display_name":"Fengbin Tu","orcid":"https://orcid.org/0000-0003-2228-8829"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"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":"Fengbin Tu","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University,Beijing,China,100084","Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358856","display_name":"Leibo Liu","orcid":"https://orcid.org/0000-0001-7548-4116"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"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":"Leibo Liu","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University,Beijing,China,100084","Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036023084","display_name":"Shaojun Wei","orcid":"https://orcid.org/0000-0001-5117-7920"},"institutions":[{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"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":"Shaojun Wei","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University,Beijing,China,100084","Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089","https://openalex.org/I4210119392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"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":0.9943000078201294,"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/dataflow","display_name":"Dataflow","score":0.9261486530303955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8083717823028564},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6201434135437012},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5126208662986755},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.486868292093277},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48429742455482483},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45151710510253906},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4330528676509857},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.427814781665802},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.415226012468338},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3290141224861145},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22012987732887268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1388070285320282},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09369245171546936}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.9261486530303955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083717823028564},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6201434135437012},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5126208662986755},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.486868292093277},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48429742455482483},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45151710510253906},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4330528676509857},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.427814781665802},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.415226012468338},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3290141224861145},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22012987732887268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1388070285320282},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09369245171546936},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/newcas44328.2019.8961273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas44328.2019.8961273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 17th IEEE International New Circuits and Systems Conference (NEWCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-152893","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-152893","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2048266589","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2289252105","https://openalex.org/W2605487586","https://openalex.org/W2606722458","https://openalex.org/W2612445135","https://openalex.org/W2783000019","https://openalex.org/W2963125010","https://openalex.org/W3024621361","https://openalex.org/W4297775537"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W3167919718","https://openalex.org/W4251718783","https://openalex.org/W2171015181","https://openalex.org/W4239447582","https://openalex.org/W1484403103","https://openalex.org/W2521947294","https://openalex.org/W1998888015"],"abstract_inverted_index":{"Emerging":[0],"mobile":[1,23,66,72,109],"deep":[2],"neural":[3],"networks":[4],"(DNNs)":[5],"are":[6,46,68],"prevalent":[7],"in":[8,65],"resource-limited":[9],"devices":[10],"because":[11],"of":[12,39,54,62,108],"their":[13],"shrunken":[14],"parameter":[15],"size":[16],"and":[17,91,123],"reduced":[18],"computation.":[19],"However,":[20],"when":[21],"deploying":[22],"DNNs":[24,67,73],"on":[25,50],"conventional":[26],"DNN":[27],"accelerators,":[28],"there":[29],"will":[30],"be":[31],"a":[32,51,88,92,115],"performance":[33],"loss":[34],"due":[35],"to":[36,103],"the":[37,58,105,121],"reduction":[38],"processing":[40,101],"element":[41],"(PE)":[42],"utilization.":[43],"Conventional":[44],"accelerators":[45],"generally":[47],"designed":[48],"base":[49],"fixed":[52],"pattern":[53],"data":[55,59],"reuse,":[56],"but":[57],"reuse":[60],"opportunities":[61],"different":[63],"layers":[64],"diverse.":[69],"To":[70],"process":[71],"with":[74],"high":[75,125],"performance,":[76],"we":[77],"propose":[78],"an":[79],"architecture":[80],"called":[81],"MoNA":[82],"(Mobile":[83],"Neural":[84],"Architecture),":[85],"which":[86,119],"includes":[87],"flexible":[89],"dataflow":[90,97,122],"reconfigurable":[93,100],"computing":[94,112],"core.":[95],"The":[96,111],"efficiently":[98],"supports":[99,120],"parallelism":[102],"maximize":[104],"PE":[106,117],"utilization":[107],"DNNs.":[110],"core":[113],"is":[114],"3D":[116],"array,":[118],"avoids":[124],"bandwidth":[126],"requirement.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}