Di Zhang

According to our database, Di Zhang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Empirical Study of Machine Learning-Based Synthetic Job Trace Generation Methods.

Monish Soundar Raj, Thomas MacDougall, Di Zhang, Dong Dai

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2024

Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters.

Di Zhang, Monish Soundar Raj, Bing Xie, Sheng Di, Dong Dai

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection.

Chris Egersdoerfer, Dong Dai, Di Zhang

CoRR, 2023

A Reinforcement Learning Based Backfilling Strategy for HPC Batch Jobs.

Elliot Kolker-Hicks, Di Zhang, Dong Dai

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis.

Di Zhang, Chris Egersdoerfer, Tabassum Mahmud, Mai Zheng, Dong Dai

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Early Exploration of Using ChatGPT for Log-based Anomaly Detection on Parallel File Systems Logs.

Chris Egersdoerfer, Di Zhang, Dong Dai

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

A Study of Failure Recovery and Logging of High-Performance Parallel File Systems.

Runzhou Han, Om Rameshwar Gatla, Mai Zheng, Jinrui Cao, Di Zhang, Dong Dai, Yong Chen, Jonathan E. Cook

ACM Trans. Storage, 2022

SchedInspector: A Batch Job Scheduling Inspector Using Reinforcement Learning.

Di Zhang, Dong Dai, Bing Xie

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

ClusterLog: Clustering Logs for Effeftxsctive Log-based Anomaly Detection.

Chris Egersdoerfer, Di Zhang, Dong Dai

Proceedings of the 12th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2022

2021

SentiLog: Anomaly Detecting on Parallel File Systems via Log-based Sentiment Analysis.

Di Zhang, Dong Dai, Runzhou Han, Mai Zheng

Proceedings of the HotStorage '21: 13th ACM Workshop on Hot Topics in Storage and File Systems, 2021

2020

RLScheduler: an automated HPC batch job scheduler using reinforcement learning.

Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao, Bing Xie

Proceedings of the International Conference for High Performance Computing, 2020

2019

RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning.

Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao

CoRR, 2019