Dao-Fu Liu

According to our database, Dao-Fu Liu authored at least 6 papers between 2011 and 2020.

Collaborative distances:

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

2020

ParaML: A Polyvalent Multicore Accelerator for Machine Learning.

Shengyuan Zhou, Qi Guo, Zidong Du, Dao-Fu Liu, Tianshi Chen, Ling Li, Shaoli Liu, Jinhong Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

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

2015

PuDianNao: A Polyvalent Machine Learning Accelerator.

Dao-Fu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015

2013

Deterministic Replay Using Global Clock.

Yunji Chen, Tianshi Chen, Ling Li, Ruiyang Wu, Dao-Fu Liu, Weiwu Hu

ACM Trans. Archit. Code Optim., 2013

2012

Performance Prediction for Reconfigurable Processor.

Dao-Fu Liu, Qi Guo, Tianshi Chen, Ling Li, Yunji Chen

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011

An FFT Performance Model for Optimizing General-Purpose Processor Architecture.

Ling Li, Yunji Chen, Dao-Fu Liu, Cheng Qian, Weiwu Hu

J. Comput. Sci. Technol., 2011