| RLScheduler: an automated HPC batch job scheduler using reinforcement learning D Zhang, D Dai, Y He, FS Bao, B Xie SC20: International Conference for High Performance Computing, Networking …, 2020 | 41 | 2020 |
| IOGP: An incremental online graph partitioning algorithm for distributed graph databases D Dai, W Zhang, Y Chen Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017 | 37 | 2017 |
| Using Property Graphs for Rich Metadata Management in HPC Systems D Dong, BR Robert, C Philip, K Dries, C Yong 9th Parallel Data Storage Workshop, 2014 | 25 | 2014 |
| Provenance-based object storage prediction scheme for scientific big data applications D Dai, Y Chen, D Kimpe, R Ross 2014 IEEE International Conference on Big Data (Big Data), 271-280, 2014 | 24 | 2014 |
| AKIN: A streaming graph partitioning algorithm for distributed graph storage systems W Zhang, Y Chen, D Dai 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018 | 23 | 2018 |
| Two-choice randomized dynamic I/O scheduler for object storage systems D Dai, Y Chen, D Kimpe, R Ross SC'14: Proceedings of the International Conference for High Performance …, 2014 | 23 | 2014 |
| PFault: A general framework for analyzing the reliability of high-performance parallel file systems J Cao, OR Gatla, M Zheng, D Dai, V Eswarappa, Y Mu, Y Chen Proceedings of the 2018 International Conference on Supercomputing, 1-11, 2018 | 22 | 2018 |
| An adaptive auto-configuration tool for hadoop C Li, H Zhuang, K Lu, M Sun, J Zhou, D Dai, X Zhou 2014 19th International Conference on Engineering of Complex Computer …, 2014 | 22 | 2014 |
| Sedna: A memory based key-value storage system for realtime processing in cloud D Dai, X Li, C Wang, M Sun, X Zhou 2012 IEEE International Conference on Cluster Computing Workshops, 48-56, 2012 | 22 | 2012 |
| Client-side straggler-aware I/O scheduler for object-based parallel file systems N Tavakoli, D Dai, Y Chen Parallel Computing 82, 3-18, 2019 | 17 | 2019 |
| Lightweight provenance service for high-performance computing D Dai, Y Chen, P Carns, J Jenkins, R Ross 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | 16 | 2017 |
| PRS: A pattern-directed replication scheme for heterogeneous object-based storage J Zhou, Y Chen, W Xie, D Dai, S He, W Wang IEEE Transactions on Computers 69 (4), 591-605, 2019 | 14 | 2019 |
| A generic framework for testing parallel file systems J Cao, S Wang, D Dai, M Zheng, Y Chen 2016 1st Joint International Workshop on Parallel Data Storage and data …, 2016 | 14 | 2016 |
| Log-assisted straggler-aware I/O scheduler for high-end computing N Tavakoli, D Dai, Y Chen 2016 45th International Conference on Parallel Processing Workshops (ICPPW …, 2016 | 13 | 2016 |
| Rlscheduler: Learn to schedule hpc batch jobs using deep reinforcement learning D Zhang, D Dai, Y He, FS Bao arXiv e-prints, 2019 | 11 | 2019 |
| GraphMeta: a graph-based engine for managing large-scale HPC rich metadata D Dai, Y Chen, P Carns, J Jenkins, W Zhang, R Ross 2016 IEEE International Conference on Cluster Computing (CLUSTER), 298-307, 2016 | 10 | 2016 |
| Block2vec: A deep learning strategy on mining block correlations in storage systems D Dai, FS Bao, J Zhou, Y Chen 2016 45Th international conference on parallel processing workshops (ICPPW …, 2016 | 10 | 2016 |
| I/O characteristics discovery in cloud storage systems J Zhou, D Dai, Y Mao, X Chen, Y Zhuang, Y Chen 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 170-177, 2018 | 9 | 2018 |
| Cloud based short read mapping service D Dai, X Li, C Wang, X Zhou 2012 IEEE International Conference on Cluster Computing, 601-604, 2012 | 9 | 2012 |
| SuperMIC: Analyzing large biological datasets in bioinformatics with maximal information coefficient C Wang, D Dai, X Li, A Wang, X Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics 14 (4 …, 2016 | 8* | 2016 |
Yong ChenTexas Tech UniversityVerified email at ttu.edu
