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CALOREE : Learning Control for Predictable Latency and L..:

, In: Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems,

Mishra, Nikita ; Imes, Connor ; Lafferty, John D.. - p. 184-198 , 2018

Link: https://dl.acm.org/doi/10.1145/3173162.3173184

RT 
T1 <cTitle>Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems</cTitle>: T1 <Title>CALOREE				: Learning Control for Predictable Latency and Low Energy</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3173184&Exemplar=1&LAN=DE
				
A1 Mishra, Nikita
A1 Imes, Connor
A1 Lafferty, John D.
A1 Hoffmann, Henry
PB ACM
YR 2018
K1 control theory
K1 energy
K1 heterogeneous architectures
K1 machine learning
K1 real-time systems
K1 resource allocation
K1 Computing methodologies
K1 Artificial intelligence
K1 Control methods
K1 Computational control theory
K1 Machine learning
K1 Hardware
K1 Power and energy
K1 Power estimation and optimization
K1 Chip-level power issues
K1 Computer systems organization
K1 Embedded and cyber-physical systems
K1 Embedded systems
K1 Real-time systems
K1 Real-time system architecture
K1 Architectures
K1 Other architectures
K1 Heterogeneous (hybrid) systems
SP 184
OP 198
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3173162.3173184
DO https://dl.acm.org/doi/10.1145/3173162.3173184
SF ELIB - SuUB Bremen

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