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Dao-Fu Liu
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2020 – today
- 2020
- [j3]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:
ParaML: A Polyvalent Multicore Accelerator for Machine Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(9): 1764-1777 (2020)
2010 – 2019
- 2017
- [c3]Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen:
TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. CCGrid 2017: 731-734 - 2015
- [c2]Dao-Fu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen:
PuDianNao: A Polyvalent Machine Learning Accelerator. ASPLOS 2015: 369-381 - 2013
- [j2]Yunji Chen, Tianshi Chen, Ling Li, Ruiyang Wu, Dao-Fu Liu, Weiwu Hu:
Deterministic Replay Using Global Clock. ACM Trans. Archit. Code Optim. 10(1): 1:1-1:28 (2013) - 2012
- [c1]Dao-Fu Liu, Qi Guo, Tianshi Chen, Ling Li, Yunji Chen:
Performance Prediction for Reconfigurable Processor. HPCC-ICESS 2012: 1352-1359 - 2011
- [j1]Ling Li, Yunji Chen, Dao-Fu Liu, Cheng Qian, Weiwu Hu:
An FFT Performance Model for Optimizing General-Purpose Processor Architecture. J. Comput. Sci. Technol. 26(5): 875-889 (2011)
Coauthor Index
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