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[HTML][HTML] Towards practical reinforcement learning for tokamak magnetic control
Reinforcement learning (RL) has shown promising results for real-time control systems,
including the domain of plasma magnetic control. However, there are still significant …
including the domain of plasma magnetic control. However, there are still significant …
A Memory Management Method for DNN Inference for Aerospace Embedded Systems
S Li, F Wang, S Zhang, T Wang, Z Ma… - 2024 7th International …, 2024 - ieeexplore.ieee.org
Currently, deep neural networks (DNN) are widely used in aerospace field, however, due to
the embedded system in aerospace field, it is often difficult to support large-scale in-orbit …
the embedded system in aerospace field, it is often difficult to support large-scale in-orbit …
[PDF][PDF] Enhancing Model Training Efficiency Through Fast Device Placement Algorithms
L Martinez, M Harris, E Anderson, A Thompson… - researchgate.net
Large-scale model training often faces challenges related to efficiency and resource
utilization. Optimizing the placement of model components across available hardware is …
utilization. Optimizing the placement of model components across available hardware is …