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Conference and Workshop Papers
- 2023
[c8]Shaoshuai Zhang
, Ruchi Shah, Hiroyuki Ootomo, Rio Yokota, Panruo Wu:
Fast Symmetric Eigenvalue Decomposition via WY Representation on Tensor Core. PPoPP 2023: 301-312- 2022
- [c7]Wohuan Jia, Shaoshuai Zhang, Yue Jiang, Li Xu:
Interpreting Convolutional Neural Networks via Layer-Wise Relevance Propagation. ICAIS (1) 2022: 457-467 - 2021
- [c6]Shaoshuai Zhang, Panruo Wu:
Recursion Brings Speedup to Out-of-Core TensorCore-based Linear Algebra Algorithms: A Case Study of Classic Gram-Schmidt QR Factorization. ICPP 2021: 80:1-80:11 - 2020
- [c5]Shaoshuai Zhang, Elaheh Baharlouei, Panruo Wu:
High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications. HPDC 2020: 17-28 - [c4]Shaoshuai Zhang, Ruchi Shah, Panruo Wu:
TensorSVM: accelerating kernel machines with tensor engine. ICS 2020: 7:1-7:11 - [c3]Shaoshuai Zhang, Vivek Karihaloo, Panruo Wu:
Basic Linear Algebra Operations on TensorCore GPU. ScalA@SC 2020: 44-52 - 2019
- [c2]Ruchi Shah, Shaoshuai Zhang, Ying Lin, Panruo Wu:
xSVM: Scalable Distributed Kernel Support Vector Machine Training. IEEE BigData 2019: 155-164 - 2017
- [c1]Shaoshuai Zhang, Renjian Feng, Yinfeng Wu, Ning Yu:
Adaptive compressed sensing for acceleration data transmission in human motion capture. CISP-BMEI 2017: 1-6
Informal and Other Publications
- 2024
- [i2]Hansheng Wang, Lu Shi, Zhekai duan, Panruo Wu, Liwei Guo, Shaoshuai Zhang:
Extracting the Potential of Emerging Hardware Accelerators for Symmetric Eigenvalue Decomposition. CoRR abs/2410.02170 (2024) - 2019
- [i1]Shaoshuai Zhang, Panruo Wu:
High Accuracy Low Precision QR Factorization and Least Square Solver on GPU with TensorCore. CoRR abs/1912.05508 (2019)
Coauthor Index
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