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Auto-tuning Spark Big Data Workloads on POWER8 : Predict..:

, In: Proceedings of the 2016 International Conference on Parallel Architectures and Compilation,

Jia, Zhen ; Xue, Chao ; Chen, Guancheng... - p. 387-400 , 2016

Link: https://dl.acm.org/doi/10.1145/2967938.2967957

RT 
T1 <cTitle>Proceedings of the 2016 International Conference on Parallel Architectures and Compilation</cTitle>: T1 <Title>Auto-tuning Spark Big Data Workloads on POWER8				: Prediction-Based Dynamic SMT Threading</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2967957&Exemplar=1&LAN=DE
				
A1 Jia, Zhen
A1 Xue, Chao
A1 Chen, Guancheng
A1 Zhan, Jianfeng
A1 Zhang, Lixin
A1 Lin, Yonghua
A1 Hofstee, Peter
PB ACM
YR 2016
K1 dynamic smt tuning
K1 power8
K1 spark big data
K1 Hardware
K1 Emerging technologies
K1 Analysis and design of emerging devices and systems
K1 Emerging architectures
K1 Software and its engineering
K1 Software organization and properties
K1 Contextual software domains
K1 Operating systems
K1 Process management
K1 Scheduling
K1 Software system structures
K1 Software architectures
K1 Networks
K1 Network services
K1 Cloud computing
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 Multicore architectures
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Algorithmic game theory and mechanism design
SP 387
OP 400
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2967938.2967957
DO https://dl.acm.org/doi/10.1145/2967938.2967957
SF ELIB - SuUB Bremen

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