{"id":"https://openalex.org/W2944860507","doi":"https://doi.org/10.23919/date.2019.8715267","title":"Learn-to-Scale: Parallelizing Deep Learning Inference on Chip Multiprocessor Architecture","display_name":"Learn-to-Scale: Parallelizing Deep Learning Inference on Chip Multiprocessor Architecture","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2944860507","doi":"https://doi.org/10.23919/date.2019.8715267","mag":"2944860507"},"language":"en","primary_location":{"id":"doi:10.23919/date.2019.8715267","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8715267","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/A5031365461","display_name":"Kaiwei Zou","orcid":"https://orcid.org/0000-0002-5319-3665"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiwei Zou","raw_affiliation_strings":["SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347055","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-0682-2609"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768288","display_name":"Huawei Li","orcid":"https://orcid.org/0000-0001-8082-4218"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Li","raw_affiliation_strings":["SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023380073","display_name":"Xiaowei Li","orcid":"https://orcid.org/0000-0002-0874-814X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Li","raw_affiliation_strings":["SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"SKLCA, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031365461"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.9214,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78960072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1172","last_page":"1177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.843609094619751},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.7212733030319214},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6351176500320435},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.633887767791748},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6051251888275146},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6023300290107727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5158776044845581},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49486392736434937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843609094619751},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.7212733030319214},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6351176500320435},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.633887767791748},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6051251888275146},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6023300290107727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5158776044845581},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49486392736434937},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2019.8715267","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8715267","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":[{"score":0.8600000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1987840949","https://openalex.org/W2018162709","https://openalex.org/W2048266589","https://openalex.org/W2078726412","https://openalex.org/W2152839228","https://openalex.org/W2162390675","https://openalex.org/W2163605009","https://openalex.org/W2289252105","https://openalex.org/W2396572963","https://openalex.org/W2403646140","https://openalex.org/W2407022425","https://openalex.org/W2516141709","https://openalex.org/W2606722458","https://openalex.org/W2884201348","https://openalex.org/W2963000224","https://openalex.org/W6670341109","https://openalex.org/W6683722107","https://openalex.org/W6684191040","https://openalex.org/W6714239094","https://openalex.org/W6725543821","https://openalex.org/W6753671750"],"related_works":["https://openalex.org/W1517776641","https://openalex.org/W99192079","https://openalex.org/W1867962035","https://openalex.org/W2010936801","https://openalex.org/W300950598","https://openalex.org/W2950549070","https://openalex.org/W4252830195","https://openalex.org/W1577207287","https://openalex.org/W2805154545","https://openalex.org/W2104603305"],"abstract_inverted_index":{"Accelerating":[0],"deep":[1,41,70,88],"neural":[2,25,71,137],"networks":[3],"on":[4,23,35,44,74],"resource-constrained":[5],"embedded":[6,45,75],"devices":[7],"is":[8,30],"becoming":[9],"increasingly":[10],"important":[11],"for":[12,55,135],"real-time":[13,53],"applications.":[14],"However,":[15],"in":[16],"contrast":[17],"to":[18,91],"the":[19,36,65,82,93,102,107,117,123],"intensive":[20],"research":[21],"works":[22],"specialized":[24],"network":[26,72],"inference":[27,43,73],"architectures,":[28,47],"there":[29],"a":[31],"lack":[32],"of":[33,40,67,87,95],"study":[34],"acceleration":[37],"and":[38,58,84,100,128],"parallelization":[39,120],"learning":[42,89],"chip-multiprocessor":[46],"which":[48],"are":[49],"favored":[50],"by":[51,126],"many":[52],"applications":[54],"superb":[56],"energy-efficiency":[57],"scalability.":[59],"In":[60],"this":[61],"work,":[62],"we":[63],"investigate":[64],"strategies":[66],"parallelizing":[68],"single-pass":[69],"on-chip":[76,96],"multi-core":[77],"accelerators.":[78],"These":[79],"methods":[80],"exploit":[81],"elasticity":[83],"noise-tolerance":[85],"features":[86],"algorithms":[90],"circumvent":[92],"bottleneck":[94],"inter-core":[97],"data":[98],"moving":[99],"reduce":[101],"communication":[103],"overhead":[104],"aggravated":[105],"as":[106],"core":[108],"number":[109],"scales":[110],"up.":[111],"The":[112],"experimental":[113],"results":[114],"show":[115],"that":[116],"communication-aware":[118],"sparsified":[119],"method":[121],"improves":[122],"system":[124],"performance":[125],"1.6\u00d7\u22121.1\u00d7":[127],"achieves":[129],"4\u00d7\u22121.6\u00d7":[130],"better":[131],"interconnects":[132],"energy":[133],"efficiency":[134],"different":[136],"networks.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}