SchedInspector-Reference-Cited by-同舟云学术

SchedInspector

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
language:
Short-container-title:

Author:

Zhang Di¹,Dai Dong¹,Xie Bing²

Affiliation:

1. University of North Carolina at Charlotte, Charlotte, NC, USA

2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3502181.3531470

Reference39 articles.

1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , Manjunath Kudlur , Josh Levenberg , Rajat Monga , Sherry Moore , Derek G Murray , Benoit Steiner , Paul Tucker , Vijay Vasudevan , Pete Warden , Martin Wicke , Yuan Yu , Xiaoqiang Zheng , and Google Brain . 2016 . TensorFlow: A system for large-scale machine learning . In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI'16) . Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng, and Google Brain. 2016. TensorFlow: A system for large-scale machine learning. In Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI'16).

2. Joshua Achiam. 2018. Spinning Up in Deep Reinforcement Learning. Joshua Achiam. 2018. Spinning Up in Deep Reinforcement Learning.

3. Anurag Agarwal Selcuk Colak Varghese S Jacob and Hasan Pirkul. 2006. Heuristics and augmented neural networks for task scheduling with non-identical machines. European Journal of Operational Research (EJOR'06). Anurag Agarwal Selcuk Colak Varghese S Jacob and Hasan Pirkul. 2006. Heuristics and augmented neural networks for task scheduling with non-identical machines. European Journal of Operational Research (EJOR'06).

4. Derya Eren Akyol and G Mirac Bayhan. 2007. A review on evolution of production scheduling with neural networks. Computers & Industrial Engineering (CAIE'07). Derya Eren Akyol and G Mirac Bayhan. 2007. A review on evolution of production scheduling with neural networks. Computers & Industrial Engineering (CAIE'07).

5. Hadil Al-Daoud Issam Al-Azzoni and Douglas G Down. 2012. Power-aware linear programming based scheduling for heterogeneous computer clusters. Future Generation Computer Systems (FGCS'12). Hadil Al-Daoud Issam Al-Azzoni and Douglas G Down. 2012. Power-aware linear programming based scheduling for heterogeneous computer clusters. Future Generation Computer Systems (FGCS'12).

Cited by 7 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

1. Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. Adaptive Task-Oriented Resource Allocation for Large Dynamic Workflows on Opportunistic Resources;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

3. CHROME: Concurrency-Aware Holistic Cache Management Framework with Online Reinforcement Learning;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

4. Batch Jobs Load Balancing Scheduling in Cloud Computing Using Distributional Reinforcement Learning;IEEE Transactions on Parallel and Distributed Systems;2024-01

5. Deep Back-Filling: a Split Window Technique for Deep Online Cluster Job Scheduling;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17