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Viper: A High-Performance I/O Framework for Transparently U..:

, In: Proceedings of the 53rd International Conference on Parallel Processing,

Ye, Jie ; Cernuda, Jaime ; Rajesh, Neeraj... - p. 812-821 , 2024

Link: https://dl.acm.org/doi/10.1145/3673038.3673070

RT 
T1 <cTitle>Proceedings of the 53rd International Conference on Parallel Processing</cTitle>: T1 <Title>Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3673070&Exemplar=1&LAN=DE
				
A1 Ye, Jie
A1 Cernuda, Jaime
A1 Rajesh, Neeraj
A1 Bateman, Keith
A1 Yildiz, Orcun
A1 Peterka, Tom
A1 Nigmetov, Arnur
A1 Morozov, Dmitriy
A1 Sun, Xian-He
A1 Kougkas, Anthony
A1 Nicolae, Bogdan
PB ACM
YR 2024
K1 AI Workflows
K1 Adaptive AI Model Checkpointing
K1 Coupled Training and Inferences
K1 Inferences During Partial Training
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Software architectures
K1 Publish-subscribe / event-based architectures
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
SP 812
OP 821
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3673038.3673070
DO https://dl.acm.org/doi/10.1145/3673038.3673070
SF ELIB - SuUB Bremen

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