{"id":"https://openalex.org/W2944864513","doi":"https://doi.org/10.23919/date.2019.8715021","title":"Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture","display_name":"Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2944864513","doi":"https://doi.org/10.23919/date.2019.8715021","mag":"2944864513"},"language":"en","primary_location":{"id":"doi:10.23919/date.2019.8715021","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8715021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5061158039","display_name":"Shang-Yu Wu","orcid":"https://orcid.org/0000-0002-1961-143X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shangyu Wu","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101833977","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0003-3796-3989"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015692437","display_name":"Amelie Chi Zhou","orcid":"https://orcid.org/0000-0001-8343-2367"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Amelie Chi Zhou","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724957","display_name":"Rui Mao","orcid":"https://orcid.org/0000-0002-3645-5520"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Mao","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639532","display_name":"Zili Shao","orcid":"https://orcid.org/0000-0002-2173-2847"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Shao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440819","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-9568-2707"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061158039"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.3577,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5973173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"806","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8510195016860962},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6937277317047119},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6505535244941711},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6022354364395142},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5975934267044067},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5733357667922974},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5638928413391113},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5414585471153259},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4359099566936493},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.42956748604774475},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4238676428794861},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4181118607521057},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.41764533519744873},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3128376603126526},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2886538803577423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28656667470932007},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20635098218917847},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12911656498908997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8510195016860962},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6937277317047119},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6505535244941711},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6022354364395142},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5975934267044067},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5733357667922974},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5638928413391113},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5414585471153259},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4359099566936493},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.42956748604774475},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4238676428794861},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4181118607521057},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.41764533519744873},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3128376603126526},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2886538803577423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28656667470932007},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20635098218917847},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12911656498908997}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2019.8715021","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8715021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2015861736","https://openalex.org/W2037121693","https://openalex.org/W2094756095","https://openalex.org/W2152839228","https://openalex.org/W2289252105","https://openalex.org/W2474451066","https://openalex.org/W2530749948","https://openalex.org/W2594546859","https://openalex.org/W2607105139","https://openalex.org/W2622302604","https://openalex.org/W2953384591","https://openalex.org/W4239722617","https://openalex.org/W6674479107","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W3211931762","https://openalex.org/W2942586735","https://openalex.org/W4225757241","https://openalex.org/W4385414328","https://openalex.org/W4206958732","https://openalex.org/W2534668683","https://openalex.org/W4375928818","https://openalex.org/W3013760193","https://openalex.org/W3009018976","https://openalex.org/W4224133481"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2,156],"networks":[3],"have":[4],"become":[5],"the":[6,27,50,61,83,94,101,110,117,132,167,172],"mainstream":[7],"solution":[8,129],"for":[9],"many":[10],"artificial":[11],"intelligence":[12],"applications.":[13],"However,":[14],"they":[15],"are":[16,151],"still":[17],"rarely":[18],"deployed":[19],"on":[20,70,86],"mobile":[21,137],"or":[22,88,138],"edge":[23,72,89,139],"devices":[24],"due":[25],"to":[26,48,58,81,99,130],"cost":[28],"of":[29,33,63,145,174],"a":[30,45,77,121,127,143],"substantial":[31],"amount":[32],"data":[34],"movement":[35],"among":[36,104],"limited":[37,111],"resources.":[38,114],"The":[39,53],"emerging":[40,95],"processing-inmemory":[41],"neuromorphic":[42,97],"architecture":[43,98],"offers":[44],"promising":[46],"direction":[47],"accelerate":[49,82],"inference":[51,64],"process.":[52],"key":[54],"issue":[55],"becomes":[56],"how":[57],"effectively":[59,165],"allocate":[60],"processing":[62,102,168],"between":[65],"computing":[66,105,175],"and":[67,107,125,170],"storage":[68,113],"resources":[69,106,176],"an":[71],"device.This":[73],"paper":[74],"presents":[75],"Mobile-I,":[76],"resource":[78,122],"allocation":[79,123],"scheme":[80],"Inference":[84],"process":[85],"Mobile":[87],"devices.":[90,140],"Mobile-I":[91,163],"targets":[92],"at":[93],"3D":[96],"reduce":[100,166],"latency":[103,169],"fully":[108],"utilize":[109],"on-chip":[112],"We":[115,141],"formulate":[116],"target":[118],"problem":[119,124],"as":[120],"use":[126],"software-based":[128],"offer":[131],"cross-platform":[133],"deployment":[134],"across":[135],"multiple":[136],"conduct":[142],"set":[144],"experiments":[146],"using":[147],"realistic":[148],"workloads":[149],"that":[150,162],"generated":[152],"from":[153],"Intel":[154],"Movidius":[155],"compute":[157],"stick.":[158],"Experimental":[159],"results":[160],"show":[161],"can":[164],"improve":[171],"utilization":[173],"with":[177,182],"negligible":[178],"overhead":[179],"in":[180],"comparison":[181],"representative":[183],"schemes.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}