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Article (Scientific journals)
Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis
Lerat, Jean-Sébastien; Mahmoudi, Sidi; Mahmoudi, Saïd
2023 • In Concurrency and Computation: Practice and Experience, 35 (14)
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https://hdl.handle.net/20.500.12907/48131
 

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Disciplines :
Computer science
Author, co-author :
Lerat, Jean-Sébastien  ;  Université de Mons - UMONS > Faculté Polytechniqu > Service Informatique, Logiciel et Intelligence artificielle
Mahmoudi, Sidi  ;  Université de Mons - UMONS > Faculté Polytechniqu > Service Informatique, Logiciel et Intelligence artificielle
Mahmoudi, Saïd  ;  Université de Mons - UMONS > Faculté Polytechniqu > Service Informatique, Logiciel et Intelligence artificielle
Language :
English
Title :
Single node deep learning frameworks: Comparative study and CPU/GPU performance analysis
Publication date :
01 February 2023
Journal title :
Concurrency and Computation: Practice and Experience
ISSN :
1532-0626
eISSN :
1532-0634
Volume :
35
Issue :
14
Peer reviewed :
Peer Reviewed verified by ORBi
Additional URL :
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119671201&doi=10.1002%2fcpe.6730&partnerID=40&md5=93853747158aa9586f9dbc3a4173fce7
Research unit :
F114 - Informatique, Logiciel et Intelligence artificielle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
Commentary :
Cited by: 1
Scopus
Conference paper
Available on ORBi UMONS :
since 14 January 2024

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