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Modeling and optimizing NUMA effects and prefetching with m..:

, In: Proceedings of the 34th ACM International Conference on Supercomputing,

Sánchez Barrera, Isaac ; Black-Schaffer, David ; Casas, Marc... - p. 1-13 , 2020

Link: https://dl.acm.org/doi/10.1145/3392717.3392765

RT 
T1 <cTitle>Proceedings of the 34th ACM International Conference on Supercomputing</cTitle>: T1 <Title>Modeling and optimizing NUMA effects and prefetching with machine learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3392765&Exemplar=1&LAN=DE
				
A1 Sánchez Barrera, Isaac
A1 Black-Schaffer, David
A1 Casas, Marc
A1 Moretó, Miquel
A1 Stupnikova, Anastasiia
A1 Popov, Mihail
PB ACM
YR 2020
K1 NUMA
K1 machine learning model
K1 page mapping
K1 performance optimization
K1 prefetching
K1 thread mapping
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 Multicore architectures
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Measurement
K1 Software and its engineering
K1 Software organization and properties
K1 Contextual software domains
K1 Operating systems
K1 Memory management
K1 Computing methodologies
K1 Modeling and simulation
K1 Model development and analysis
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
K1 Cross-validation
K1 Model verification and validation
K1 Unsupervised learning
K1 Cluster analysis
SP 1
OP 13
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3392717.3392765
DO https://dl.acm.org/doi/10.1145/3392717.3392765
SF ELIB - SuUB Bremen

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