Boyuan Zhang

According to our database, Boyuan Zhang authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.

Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang

Future Gener. Comput. Syst., 2025

2024

Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.

Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Nathan R. Tallent, Guangming Tan, Dingwen Tao

CoRR, 2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

CoRR, 2024

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression.

Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2024

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.

Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello

Proceedings of the International Conference for High Performance Computing, 2024

MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction.

Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello

CoRR, 2023

MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.

Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao

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

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello

Proceedings of the 37th International Conference on Supercomputing, 2023

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.

Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

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