Shaoshuai Zhang

According to our database, Shaoshuai Zhang authored at least 19 papers between 2017 and 2026.

Collaborative distances:

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

2026

OSLA: A High Performance One-Sided Linear Algebra Library on GPU Architectures.

Lu Shi, Ruiyi Zhan, Gaoyuan Zou, Hansheng Wang, Geyong Min, Hancong Duan, Shaoshuai Zhang

IEEE Trans. Parallel Distributed Syst., August, 2026

Reducing Internal State in Eigenvalue-Only Divide-and-Conquer Tridiagonal Eigensolvers.

Ruiyi Zhan, Shaoshuai Zhang

CoRR, May, 2026

Towards Singular Value Decomposition for Rank-Deficient Matrices: An Efficient and Accurate Algorithm on GPU Architectures.

Lu Shi, Weiwei Xu, Shaoshuai Zhang

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

Non-Delayed Cholesky Factorization.

Yuchen Luo, Hongyu Chen, Shaoshuai Zhang, Weifeng Liu

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

2025

Pipelined Dense Symmetric Eigenvalue Decomposition on Multi-GPU Architectures.

Hansheng Wang, Ruiyi Zhan, Dajun Huang, Xingchen Liu, Qiao Li, Hancong Duan, Dingwen Tao, Guangming Tan, Shaoshuai Zhang

CoRR, November, 2025

High Performance Householder QR Factorization on Emerging GPU Architectures Using Tensor Cores.

Yuhan Leng, Gaoyuan Zou, Hansheng Wang, Panruo Wu, Shaoshuai Zhang

IEEE Trans. Parallel Distributed Syst., March, 2025

Rethinking Back Transformation in 2-stage Eigenvalue Decomposition on Heterogeneous Architectures.

Hansheng Wang, Dajun Huang, Gaoyuan Zou, Lu Shi, Xu Jiang, Xi Wu, Hancong Duan, Shaoshuai Zhang

Proceedings of the International Conference for High Performance Computing, 2025

On the Scalability and Efficiency of Intra-Process Communication in Ros 2.

Xiantong Luo, Xu Jiang, Yichen Liu, Nan Guan, Yue Tang, Shaoshuai Zhang

Proceedings of the IEEE Real-Time Systems Symposium, 2025

Improving Tridiagonalization Performance on GPU Architectures.

Hansheng Wang, Zhekai Duan, Zitian Zhao, Siqi Wu, Saiqi Zheng, Qiao Li, Xu Jiang, Shaoshuai Zhang

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

2024

Extracting the Potential of Emerging Hardware Accelerators for Symmetric Eigenvalue Decomposition.

Hansheng Wang, Lu Shi, Zhekai Duan, Panruo Wu, Liwei Guo, Shaoshuai Zhang

CoRR, 2024

2023

Fast Symmetric Eigenvalue Decomposition via WY Representation on Tensor Core.

Shaoshuai Zhang, Ruchi Shah, Hiroyuki Ootomo, Rio Yokota, Panruo Wu

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

2022

Interpreting Convolutional Neural Networks via Layer-Wise Relevance Propagation.

Wohuan Jia, Shaoshuai Zhang, Yue Jiang, Li Xu

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

Recursion Brings Speedup to Out-of-Core TensorCore-based Linear Algebra Algorithms: A Case Study of Classic Gram-Schmidt QR Factorization.

Shaoshuai Zhang, Panruo Wu

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

Basic Linear Algebra Operations on TensorCore GPU.

Shaoshuai Zhang, Vivek Karihaloo, Panruo Wu

Proceedings of the 11th IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2020

TensorSVM: accelerating kernel machines with tensor engine.

Shaoshuai Zhang, Ruchi Shah, Panruo Wu

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications.

Shaoshuai Zhang, Elaheh Baharlouei, Panruo Wu

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

High Accuracy Low Precision QR Factorization and Least Square Solver on GPU with TensorCore.

Shaoshuai Zhang, Panruo Wu

CoRR, 2019

xSVM: Scalable Distributed Kernel Support Vector Machine Training.

Ruchi Shah, Shaoshuai Zhang, Ying Lin, Panruo Wu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Adaptive compressed sensing for acceleration data transmission in human motion capture.

Shaoshuai Zhang, Renjian Feng, Yinfeng Wu, Ning Yu

Proceedings of the 10th International Congress on Image and Signal Processing, 2017