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Understanding data storage and ingestion for large-scale de..:

, In: Proceedings of the 49th Annual International Symposium on Computer Architecture,

Zhao, Mark ; Agarwal, Niket ; Basant, Aarti... - p. 1042-1057 , 2022

Link: https://dl.acm.org/doi/10.1145/3470496.3533044

RT 
T1 <cTitle>Proceedings of the 49th Annual International Symposium on Computer Architecture</cTitle>: T1 <Title>Understanding data storage and ingestion for large-scale deep recommendation model training				: industrial product</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3533044&Exemplar=1&LAN=DE
				
A1 Zhao, Mark
A1 Agarwal, Niket
A1 Basant, Aarti
A1 Gedik, Buğra
A1 Pan, Satadru
A1 Ozdal, Mustafa
A1 Komuravelli, Rakesh
A1 Pan, Jerry
A1 Bao, Tianshu
A1 Lu, Haowei
A1 Narayanan, Sundaram
A1 Langman, Jack
A1 Wilfong, Kevin
A1 Rastogi, Harsha
A1 Wu, Carole-Jean
A1 Kozyrakis, Christos
A1 Pol, Parik
PB ACM
YR 2022
K1 data ingestion
K1 data storage
K1 databases
K1 distributed systems
K1 machine learning systems
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Distributed systems organizing principles
K1 Computing methodologies
K1 Machine learning
K1 Information systems
K1 Data management systems
K1 Database management system engines
SP 1042
OP 1057
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3470496.3533044
DO https://dl.acm.org/doi/10.1145/3470496.3533044
SF ELIB - SuUB Bremen

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