{"id":"https://openalex.org/W2782014963","doi":"https://doi.org/10.1109/icspcc.2017.8242465","title":"Heterogeneous acceleration for CNN training with many integrated core","display_name":"Heterogeneous acceleration for CNN training with many integrated core","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2782014963","doi":"https://doi.org/10.1109/icspcc.2017.8242465","mag":"2782014963"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2017.8242465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5103040066","display_name":"Lei Shan","orcid":"https://orcid.org/0000-0002-1579-2149"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Shan","raw_affiliation_strings":["College of Computer, National University of Defence Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defence Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101044975","display_name":"Canqun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canqun Yang","raw_affiliation_strings":["College of Computer, National University of Defence Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defence Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623943","display_name":"Weixia Xu","orcid":"https://orcid.org/0009-0007-6327-7372"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixia Xu","raw_affiliation_strings":["College of Computer, National University of Defence Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defence Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110908049","display_name":"Minxuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxuan Zhang","raw_affiliation_strings":["College of Computer, National University of Defence Technology, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defence Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103040066"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.197883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8554592132568359},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8369648456573486},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.6902012825012207},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6578173637390137},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6453229188919067},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6305645108222961},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.6216629147529602},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5047169923782349},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4936586320400238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47629180550575256},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.42789697647094727},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4241277873516083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23033243417739868},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0977848470211029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554592132568359},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8369648456573486},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.6902012825012207},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6578173637390137},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6453229188919067},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6305645108222961},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6216629147529602},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5047169923782349},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4936586320400238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47629180550575256},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.42789697647094727},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4241277873516083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23033243417739868},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0977848470211029},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc.2017.8242465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2017.8242465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W182691100","https://openalex.org/W1514928307","https://openalex.org/W1530262073","https://openalex.org/W1556859836","https://openalex.org/W1817724761","https://openalex.org/W1849277567","https://openalex.org/W2015861736","https://openalex.org/W2068829602","https://openalex.org/W2097117768","https://openalex.org/W2097356275","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2117513046","https://openalex.org/W2117539524","https://openalex.org/W2138516811","https://openalex.org/W2147800946","https://openalex.org/W2154624311","https://openalex.org/W2155151262","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2919115771","https://openalex.org/W6631660994","https://openalex.org/W6639204139","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2291943064","https://openalex.org/W2983282793","https://openalex.org/W1973046741","https://openalex.org/W2209727271","https://openalex.org/W3145240193","https://openalex.org/W2147073383","https://openalex.org/W2540373069","https://openalex.org/W2027176516","https://openalex.org/W3012895752"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,13],"(CNN)":[3],"extracts":[4],"features":[5],"from":[6],"big":[7],"data":[8,138],"by":[9,66,129,179,190],"using":[10],"the":[11,17,43,58,63,75,80,86,92,96,106,114,120,126,166,174,185],"multilayer":[12],"structure.":[14],"Due":[15],"to":[16,56],"high":[18],"effectiveness,":[19],"CNN":[20,36,163],"has":[21],"achieved":[22],"great":[23],"successes":[24],"in":[25,62,85,119],"many":[26],"fields":[27],"such":[28],"as":[29],"computer":[30],"vision":[31],"and":[32,89,140,143,152,169,183],"speech":[33],"analysis.":[34,154],"However,":[35],"training":[37,189],"is":[38,48],"quite":[39],"challenging":[40],"because":[41],"computing":[42,69,79],"gradients":[44,61,81],"through":[45],"multiple":[46],"layers":[47,84,112],"time":[49,76],"consuming.":[50],"In":[51,71],"this":[52,102],"paper,":[53],"we":[54,73,104,131],"propose":[55],"accelerate":[57],"computation":[59,175,186],"of":[60,78,82,110,135,176,187],"convolutional":[64,93,111,177],"layer":[65,94,178],"CPU+MIC":[67],"heterogeneous":[68],"technique.":[70],"particular,":[72],"evaluate":[74,156],"costs":[77],"all":[83],"Caffe":[87,121],"framework,":[88],"found":[90],"that":[91,171],"occupies":[95],"overall":[97,188],"computational":[98],"overheads.":[99],"Based":[100],"on":[101,113,160,165,198],"observation,":[103],"implement":[105],"intensive":[107],"matrix":[108],"manipulations":[109],"MIC":[115],"coprocessor":[116],"with":[117,149,195],"OpenMP":[118],"framework.":[122],"To":[123],"fully":[124],"utilize":[125],"threads":[127,136,139],"provided":[128],"MIC,":[130],"set":[132],"two":[133],"types":[134],"including":[137],"MKL":[141],"threads,":[142],"give":[144],"a":[145],"thread":[146],"setting":[147],"strategy":[148],"both":[150],"theoretical":[151],"empirical":[153],"We":[155],"our":[157],"acceleration":[158],"method":[159],"several":[161],"typical":[162],"models":[164],"ImageNet":[167],"dataset,":[168],"show":[170],"it":[172],"speedups":[173,184],"about":[180,191],"6.8":[181],"times,":[182],"5.8":[192],"times":[193],"compared":[194],"those":[196],"performed":[197],"single":[199],"CPU.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
