About
I am currently pursuing a Ph.D. in the Department of Intelligent Systems Engineering at Indiana University Bloomington. I am affiliated with the HiPDAC lab under the supervision of Dr. Dingwen Tao. Prior to my enrollment at Indiana University, I completed my Bachelor of Science in Information Engineering at Shanghai Jiao Tong University in 2018 and my Master of Science in Electrical Engineering at the University of Southern California in 2020. During the summer of 2023, I undertook an internship at the Pacific Northwest National Laboratory, where I was supervised by Dr. Nathan R. Tallent. For further details or to contact me, please email me at bozhan@iu.edu.
Research
- Compression
- Quantum simulation
- Parallel computing
Publications
- (ICS'25) Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, and Franck Cappello. "Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach." In Proceedings of the 39th International Conference on Supercomputing. 2025.
- (ICS'25) Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, and Dingwen Tao. "BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework." In Proceedings of the 39th International Conference on Supercomputing. 2025.
- (SC'24) Hao Feng*, Boyuan Zhang*, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin et al. "Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-16. IEEE, 2024.
- (HPDC'23) Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, and Franck Cappello. "Fz-gpu: A fast and high-ratio lossy compressor for scientific computing applications on gpus." In Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, pp. 129-142. 2023.
- (ICS'23) Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, and Franck Cappello. "Gpulz: Optimizing lzss lossless compression for multi-byte data on modern gpus." In Proceedings of the 37th International Conference on Supercomputing, pp. 348-359. 2023.
* denotes equal contribution. Please refer to the full list on Google Scholar.
Awards
- National Science Foundation Travel Grants for The International ACM Symposium on High-Performance Parallel and Distributed Computing $2000 (HPDC), 2023