{"id":"https://openalex.org/W2741639990","doi":"https://doi.org/10.1109/icufn.2017.7993784","title":"Performance of deep learning computation with TensorFlow software library in GPU-capable multi-core computing platforms","display_name":"Performance of deep learning computation with TensorFlow software library in GPU-capable multi-core computing platforms","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2741639990","doi":"https://doi.org/10.1109/icufn.2017.7993784","mag":"2741639990"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2017.7993784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2017.7993784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5050981655","display_name":"Young Jong Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young Jong Mo","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103015771","display_name":"Joongheon Kim","orcid":"https://orcid.org/0000-0002-1794-6076"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joongheon Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","School of Electrical Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018364461","display_name":"Jong\u2010Kook Kim","orcid":"https://orcid.org/0000-0003-1828-7807"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Kook Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","School of Electrical Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077402873","display_name":"Aziz Mohaisen","orcid":"https://orcid.org/0000-0003-3227-2505"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aziz Mohaisen","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo (SUNY Buffalo), NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo (SUNY Buffalo), NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023457389","display_name":"Woojoo Lee","orcid":"https://orcid.org/0000-0001-5736-4583"},"institutions":[{"id":"https://openalex.org/I89440247","display_name":"Myongji University","ror":"https://ror.org/00s9dpb54","country_code":"KR","type":"education","lineage":["https://openalex.org/I89440247"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woojoo Lee","raw_affiliation_strings":["Department of Electronic Engineering, Myongji University, Yongin, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Myongji University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I89440247"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050981655"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":3.6051,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94487439,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9959999918937683,"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":0.867245614528656},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7358461618423462},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6682530641555786},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6190267205238342},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.5978947281837463},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5806678533554077},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5441480875015259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5409030318260193},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5263592004776001},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.519339919090271},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5190818309783936},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.46985164284706116},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.45410096645355225},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.44337257742881775},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44278568029403687},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3420996069908142},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27033236622810364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15238764882087708},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.13920900225639343},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12515243887901306},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11951664090156555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10368600487709045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.867245614528656},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7358461618423462},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6682530641555786},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6190267205238342},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.5978947281837463},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5806678533554077},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5441480875015259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5409030318260193},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5263592004776001},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.519339919090271},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5190818309783936},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.46985164284706116},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.45410096645355225},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.44337257742881775},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44278568029403687},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3420996069908142},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27033236622810364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15238764882087708},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.13920900225639343},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12515243887901306},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11951664090156555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10368600487709045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn.2017.7993784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2017.7993784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.41999998688697815,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2018658595","https://openalex.org/W2095727900","https://openalex.org/W2166631258","https://openalex.org/W2462602202","https://openalex.org/W2554452866","https://openalex.org/W4214495460"],"related_works":["https://openalex.org/W1964121490","https://openalex.org/W2562576480","https://openalex.org/W3001717137","https://openalex.org/W4386352405","https://openalex.org/W1445273741","https://openalex.org/W4288452443","https://openalex.org/W2205865923","https://openalex.org/W2350638539","https://openalex.org/W2191246539","https://openalex.org/W1985658314"],"abstract_inverted_index":{"In":[0,45],"this":[1],"paper":[2],"we":[3,28,53],"measure":[4,24],"and":[5,40],"verify":[6],"the":[7,15,25,41,49,55,71,79],"performance":[8,26,50,73,80],"improvements":[9],"in":[10,65,70,81],"deep":[11,56],"learning":[12,57],"computation":[13,58,84],"under":[14],"support":[16],"of":[17,62,83],"GPU-enabled":[18],"multi-core":[19],"parallel":[20],"computing":[21,32],"platforms.":[22],"To":[23],"practically,":[27],"built":[29],"our":[30],"own":[31],"platforms":[33],"using":[34],"a":[35],"GPU":[36,76],"hardware":[37,77],"(1152":[38],"cores)":[39],"TensorFlow":[42],"software":[43],"library.":[44],"order":[46],"to":[47],"evaluate":[48],"with":[51,59],"GPU,":[52],"conducted":[54],"various":[60],"numbers":[61],"hidden":[63],"layers":[64],"multilayer":[66],"perceptron.":[67],"As":[68],"presented":[69],"comparative":[72],"results,":[74],"utilizing":[75],"improved":[78],"terms":[82],"time":[85],"(about":[86],"3":[87],"times":[88],"or":[89],"even":[90],"more).":[91]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
