IRLS: An Improved Reinforcement Learning Scheduler for High Performance Computing Systems-Reference-Cited by-同舟云学术

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IRLS: An Improved Reinforcement Learning Scheduler for High Performance Computing Systems

Published:2023-07-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on System Science and Engineering (ICSSE)
language:
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Author:

Hai Thanh Hoang Le¹,Dinh Luan Le¹,Tien Dat Ngo¹,Tien Dat Bui Huu¹,Thoai Nam¹

Affiliation:

1. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10,High Performance Computing Laboratory, Advanced Institute of Interdisciplinary Science and Technology, Faculty of Computer Science and Engineering,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10227140/10227074/10227229.pdf?arnumber=10227229

Reference19 articles.

1. RLSchert: An HPC Job Scheduler Using Deep Reinforcement Learning and Remaining Time Prediction

2. RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning

3. Function Optimization using Connectionist Reinforcement Learning Algorithms

4. Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne

5. Online scheduling of heterogeneous distributed machine learning jobs

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