Teaching Schedule

Research Interests

I am interested in a wide range of topics related to infrastructure for building and utilizing high-performance storage systems, including parallel file systems, metadata management, distributed graph storage, operating systems, and data-intensive machine learning infrastructure.

I am also leading the Data Intelligence Research (DIR) Lab, a research group that focusing on co-designing data-intensive and inteligent systems.

new I have fully supported Ph.D RA positions opening in 2019 Fall. If you are interested in hacking large-scale storage systems or any of the relevant Research Projects, please consider applying Here or shoot me an email.

Biography

I received BS and PhD in Computer Science from University of Science and Technology of China in 2006 and 2013 respectively.

From 2013–2015, I was a PostDoc researcher in a joint project between Texas Tech University and Argonne National Lab. The project was mainly about I/O scheduling and optimization.

From 2015–2018, I was a Research Assistant Professor at Texas Tech University. I worked on distributed graph storage systems, large-scale metadatadata management system, and paralell file system fault tolerance.

In 2018, I joined the Department of Computer Science at Univeristy of North Carolina at Charlotte (UNC-Charlotte) as Assistant Professor.

Selected Publications

  1. Managing Rich Metadata in High-Performance Computing Systems Using a Graph Model. Dong Dai, Yong Chen, Philip Carns, John Jenkins, Wei Zhang, and Robert Ross. Accepted to appear in the IEEE Transactions on Parallel and Distributed Systems (TPDS'18), 2018. [Paper]
  2. PFault: A General Framework for Analyzing the Reliability of High-Performance Parallel File Systems. Jinrui Cao, Om Rameshwar Gatla, Mai Zheng, Dong Dai, Vidya Eswarappa, Yan Mu and Yong Chen. Accepted to appear in the proceedings of the 32nd ACM/SIGARCH International Conference on Supercomputing (ICS'18), 2018. (acceptance rate: 36/193=18.7%) [Paper]
  3. Vectorizing Disk Blocks for Efficient Storage Systems via Deep Learning. Dong Dai, Forrest Sheng Bao, Jiang Zhou, Xuanhua Shi, and Yong Chen. International Journal of Parallel Computing, (Parco'18), 2018. [Paper]
  4. Lightweight Provenance Service for High Performance Computing. Dong Dai, Yong Chen, Philip Carns, John Jenkins, and Robert Ross. In the proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques (PACT'17), 2017. (acceptance rate: 23%). [Paper][Slides][Codes]
  5. IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases. Dong Dai, Wei Zhang, and Yong Chen. In the proceedings of the 26th ACM International Symposium on High Performance Parallel and Distributed Computing (HPDC'17), 2017. (acceptance rate: 19%). [Paper][Slides] [Flyer] [Codes]
  6. A Generic Framework for Testing Parallel File Systems. Jinrui Cao, Simeng Wang, Dong Dai, Mai Zheng, and Yong Chen. In the proceedings of joint international workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems held in Conjunction with SC'16 (PDSW-DISCS). (acceptance rate: 27%). [Paper]
  7. An Asynchronous Traversal Engine for Graph-Based Rich Metadata Management. Dong Dai, Philip Carns, Robert Ross, John Jenkins, Nicholas Muirheada, and Yong Chen. International Journal of Parallel Computing, (Parco'16), 2016. [Paper]
  8. GraphMeta: A Graph-based Engine for Managing Large-Scale HPC Rich Metadata. Dong Dai, Yong Chen, Philip Carns, John Jenkins, Wei Zhang, and Robert Ross. In Proceedings of the IEEE International Conference on Cluster Computing, (Cluster'16), 2016. (acceptance rate: 24.1%). [Paper] [Slides] [Video] [Codes]
  9. GraphTrek: Asynchronous Graph Traversal for Property Graph Based Metadata Management. Dong Dai, Philip Carns, Robert Ross, John Jenkins, Kyle Blauer, and Yong Chen. In proceedings of the IEEE International Conference on Cluster Computing, (Cluster'15), 2015. (acceptance rate: 38/157=24.2%). [Paper]
  10. Two-Choice Randomized Dynamic I/O Scheduler for Object Storage Systems . Dong Dai, Yong Chen, Dries Kimpe, and Robert B. Ross. In proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'14), 2014. (acceptance rate: 82/394=20.8%). [Paper]
  11. Using Property Graphs for Rich Metadata Management in HPC Systems. Dong Dai, Robert B. Ross, Philip Carns, Dries Kimpe, and Yong Chen. In 9th Parallel Data Storage Workshop held in Conjunction with SC14, (PDSW'14), 2014. [Paper] [Slides]
...... Please check a full list at Google Scholar Page

Active Grants & Projects

Contact Information

Woodward Hall 410G
704-687-1978
dong.dai@

Office Hours

W/F 3pm-4pm or by appointment

Add "uncc.edu" to e-mail addresses above.