Xuda Zhou

According to our database, Xuda Zhou authored at least 6 papers between 2016 and 2020.

Collaborative distances:

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

2020

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach.

Xi Zeng, Tian Zhi, Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Bingrui Wang, Yuanbo Wen, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Ninghui Sun, Yunji Chen

IEEE Trans. Computers, 2020

2019

Addressing Sparsity in Deep Neural Networks.

Xuda Zhou, Zidong Du, Shijin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

BSHIFT: A Low Cost Deep Neural Networks Accelerator.

Yong Yu, Tian Zhi, Xuda Zhou, Shaoli Liu, Yunji Chen, Shuyao Cheng

Int. J. Parallel Program., 2019

2018

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach.

Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2017

TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing.

Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

PIE: A Pipeline Energy-Efficient Accelerator for Inference Process in Deep Neural Networks.

Yangyang Zhao, Qi Yu, Xuda Zhou, Xuehai Zhou, Xi Li, Chao Wang

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016