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HPC Workload Characterization Using Feature Selection and C..:

, In: Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics,

Bang, Jiwoo ; Kim, Chungyong ; Wu, Kesheng... - p. 33-40 , 2020

Link: https://dl.acm.org/doi/10.1145/3391812.3396270

RT 
T1 <cTitle>Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics</cTitle>: T1 <Title>HPC Workload Characterization Using Feature Selection and Clustering</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3396270&Exemplar=1&LAN=DE
				
A1 Bang, Jiwoo
A1 Kim, Chungyong
A1 Wu, Kesheng
A1 Sim, Alex
A1 Byna, Suren
A1 Kim, Sunggon
A1 Eom, Hyeonsang
PB ACM
YR 2020
K1 clustering
K1 feature selection
K1 high performance computing
K1 supercomputer
K1 workload characterization
K1 General and reference
K1 Document types
K1 General conference proceedings
K1 Cross-computing tools and techniques
K1 Empirical studies
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Clustering
K1 Computing methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Feature selection
K1 Learning paradigms
K1 Unsupervised learning
K1 Cluster analysis
K1 Machine learning approaches
K1 Classification and regression trees
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Clustering and classification
SP 33
OP 40
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3391812.3396270
DO https://dl.acm.org/doi/10.1145/3391812.3396270
SF ELIB - SuUB Bremen

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