READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling
Author:
Funder
AMX
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9555841/9555930/09556093.pdf?arnumber=9556093
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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3. Deep reinforcement learning task scheduling method based on server real-time performance;PeerJ Computer Science;2024-06-21
4. IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03
5. Optimization of uncertain dependent task mapping on heterogeneous computing platforms;The Journal of Supercomputing;2024-04-07
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