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1 Ergebnisse
1
Generalizable Reinforcement Learning-Based Coarsening Model..:
, In:
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
,
Nie, Lanshun
;
Qiu, Yuqi
;
Meng, Fei
.. - p. 435-445 , 2023
Link:
https://doi.org/10.1109/IPDPS54959.2023.00051
RT T1
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
: T1
Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs
UL https://suche.suub.uni-bremen.de/peid=ieee-10177458&Exemplar=1&LAN=DE A1 Nie, Lanshun A1 Qiu, Yuqi A1 Meng, Fei A1 Yu, Mo A1 Li, Jing YR 2023 SN 1530-2075 K1 Performance evaluation K1 Distributed processing K1 Neural networks K1 Machine learning K1 Predictive models K1 Resource management K1 resource allocation K1 reinforcement learning K1 stream processing K1 graph neural network SP 435 OP 445 LK http://dx.doi.org/https://doi.org/10.1109/IPDPS54959.2023.00051 DO https://doi.org/10.1109/IPDPS54959.2023.00051 SF ELIB - SuUB Bremen
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