Reinforcement Learning for Load-Balanced Parallel Particle Tracing
We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems. Our method combines three novel components: (1) a work donation algorithm, (2) a high-order workload estimation model, and (3) a communication cost m...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 6 vom: 07. Juni, Seite 3052-3066
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| Auteur principal: |
Xu, Jiayi
(Auteur) |
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| Autres auteurs: |
Guo, Hanqi,
Shen, Han-Wei,
Raj, Mukund,
Wurster, Skylar W,
Peterka, Tom |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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