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FfDL : A Flexible Multi-tenant Deep Learning Platform:

, In: Proceedings of the 20th International Middleware Conference,

Jayaram, K. R. ; Muthusamy, Vinod ; Dube, Parijat... - p. 82-95 , 2019

Link: https://dl.acm.org/doi/10.1145/3361525.3361538

RT 
T1 <cTitle>Proceedings of the 20th International Middleware Conference</cTitle>: T1 <Title>FfDL				: A Flexible Multi-tenant Deep Learning Platform</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3361538&Exemplar=1&LAN=DE
				
A1 Jayaram, K. R.
A1 Muthusamy, Vinod
A1 Dube, Parijat
A1 Ishakian, Vatche
A1 Wang, Chen
A1 Herta, Benjamin
A1 Boag, Scott
A1 Arroyo, Diana
A1 Tantawi, Asser
A1 Verma, Archit
A1 Pollok, Falk
A1 Khalaf, Rania
PB ACM
YR 2019
K1 cluster scheduling
K1 deep learning platform
K1 fault tolerance
K1 gang scheduling
K1 Information systems
K1 Information systems applications
K1 Computing platforms
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Software and its engineering
K1 Software organization and properties
K1 Extra-functional properties
K1 Software reliability
K1 Software system structures
K1 Distributed systems organizing principles
K1 Cloud computing
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
SP 82
OP 95
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3361525.3361538
DO https://dl.acm.org/doi/10.1145/3361525.3361538
SF ELIB - SuUB Bremen

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