The Development of High-Utilization Scheduling for Malleable Tasks Using Deep Reinforcement Learning
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 107 === Modern high-performance computing platforms can perform dynamic tasks using elastic resource provisioning. However, complex schedules lead to useless resource fragments from time to time in the system. This paper employs our previous developed system to colle...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/pds4at |