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CHESS: Joint Energy and Makespan Optimization for Dynamic C..:

, In: Proceedings of the 2023 15th International Conference on Machine Learning and Computing,

Ma, Zimo ; Li, Yifeng ; Liu, Di.. - p. 172-176 , 2023

Link: https://dl.acm.org/doi/10.1145/3587716.3587744

RT 
T1 <cTitle>Proceedings of the 2023 15th International Conference on Machine Learning and Computing</cTitle>: T1 <Title>CHESS: Joint Energy and Makespan Optimization for Dynamic CNN Task Scheduling on the Heterogeneous System</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3587744&Exemplar=1&LAN=DE
				
A1 Ma, Zimo
A1 Li, Yifeng
A1 Liu, Di
A1 Zhang, Ziheng
A1 Zheng, Kuangyu
PB ACM
YR 2023
K1 CNN
K1 characteristic analysis
K1 dynamic task scheduling
K1 efficient computing
K1 heterogeneous system
K1 Theory of computation
K1 Computing methodologies
K1 Computer systems organization
K1 Software and its engineering
K1 Design and analysis of algorithms
K1 Theory and algorithms for application domains
K1 Software organization and properties
K1 Machine learning theory
K1 Contextual software domains
K1 Reinforcement learning
K1 Sequential decision making
SP 172
OP 176
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3587716.3587744
DO https://dl.acm.org/doi/10.1145/3587716.3587744
SF ELIB - SuUB Bremen

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