Bo Zhang

Contact

bo.zhang@mtu.edu
906-487-2364
Rekhi Hall 307

Assistant Professor, Computer Science

Ph.D., Computer Science, The University of Utah, 2024

Biography

Bo Zhang is an assistant professor in the Department of Computer Science at Michigan Technological University. Before joining Michigan Tech, he was a Post-Doctoral Research Associate in the Scientific Computing and Imaging (SCI) Institute at the University of Utah. He received his Ph.D. in Computer Science from the University of Utah in 2024, under the supervision of Prof. Manish Parashar. He received his bachelor degree in telecommunication engineering from Beijing University of Posts and Telecommunications in 2018. His research interests include high-performance computing, extreme-scale data management, in-situ processing, and heterogeneous digital twins workflow. In the past five years, he mainly worked on the workflow-level I/O abstraction for GPU-dense supercomputers.

Links of Interest

Faculty Webpage

Specialties

High-Performance Computing
Exascale Data Management
Edge-Cloud-HPC Continuum
Digital Twins Workflow

Recent Publications

Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow. Bo Zhang, Philip E. Davis, Zhao Zhang, Keita Teranishi, and Manish Parashar. 2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC), pp. 188-198. IEEE, 2024.
OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization. Gustaf Ahdritz, Nazim Bouatta, Christina Floristean, Sachin Kadyan, Qinghui Xia, William Gerecke, Timothy J O’Donnell, Daniel Berenberg, Ian Fisk, Niccolò Zanichelli, Bo Zhang, Arkadiusz Nowaczynski, Bei Wang, Marta M Stepniewska-Dziubinska, Shang Zhang, Adegoke Ojewole, Murat Efe Guney, Stella Biderman, Andrew M Watkins, Stephen Ra, Pablo Ribalta Lorenzo, Lucas Nivon, Brian Weitzner, Yih-En Andrew Ban, Shiyang Chen, Minjia Zhang, Conglong Li, Shuaiwen Leon Song, Yuxiong He, Peter K Sorger, Emad Mostaque, Zhao Zhang, Richard Bonneau, and Mohammed AlQuraishi. Nature methods 21, no. 8 (2024): 1514-1524.
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Bo Zhang, Philip E. Davis, Nicolas Morales, Zhao Zhang, Keita Teranishi, and Manish Parashar. European Conference on Parallel Processing, pp. 323-338. Cham: Springer Nature Switzerland, 2023.
Assembling portable in-situ workflow from heterogeneous components using data reorganization. Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, and Manish Parashar. 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 41-50. IEEE, 2022.