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Yunji Chen
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Publications
- 2020
- [j43]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) - 2017
- [j35]Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shijin Zhang, Tianshi Chen, Zhiwei Xu, Olivier Temam, Yunji Chen:
DaDianNao: A Neural Network Supercomputer. IEEE Trans. Computers 66(1): 73-88 (2017) - [j34]Zidong Du, Shaoli Liu, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Qi Guo, Xiaobing Feng, Yunji Chen, Olivier Temam:
An Accelerator for High Efficient Vision Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(2): 227-240 (2017) - [e2]Yunji Chen, Olivier Temam, John Carter:
Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2017, Xi'an, China, April 8-12, 2017. ACM 2017, ISBN 978-1-4503-4465-4 [contents] - 2016
- [j31]Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam:
DianNao family: energy-efficient hardware accelerators for machine learning. Commun. ACM 59(11): 105-112 (2016) - 2015
- [j25]Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam:
A High-Throughput Neural Network Accelerator. IEEE Micro 35(3): 24-32 (2015) - [j24]Shuangde Fang, Wenwen Xu, Yang Chen, Lieven Eeckhout, Olivier Temam, Yunji Chen, Chengyong Wu, Xiaobing Feng:
Practical Iterative Optimization for the Data Center. ACM Trans. Archit. Code Optim. 12(2): 15:1-15:26 (2015) - [j22]Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, Yunji Chen:
Statistical Performance Comparisons of Computers. IEEE Trans. Computers 64(5): 1442-1455 (2015) - [j21]Zidong Du, Avinash Lingamneni, Yunji Chen, Krishna V. Palem, Olivier Temam, Chengyong Wu:
Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(8): 1223-1235 (2015) - [j20]Tianshi Chen, Shijin Zhang, Shaoli Liu, Zidong Du, Tao Luo, Yuan Gao, Junjie Liu, Dongsheng Wang, Chengyong Wu, Ninghui Sun, Yunji Chen, Olivier Temam:
A Small-Footprint Accelerator for Large-Scale Neural Networks. ACM Trans. Comput. Syst. 33(2): 6:1-6:27 (2015) - [j19]Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen:
Robust Design Space Modeling. ACM Trans. Design Autom. Electr. Syst. 20(2): 18:1-18:22 (2015) - [c37]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 - [c35]Jiachao Deng, Yuntan Fang, Zidong Du, Ying Wang, Huawei Li, Olivier Temam, Paolo Ienne, David Novo, Xiaowei Li, Yunji Chen, Chengyong Wu:
Retraining-based timing error mitigation for hardware neural networks. DATE 2015: 593-596 - [c33]Zidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam:
ShiDianNao: shifting vision processing closer to the sensor. ISCA 2015: 92-104 - [c32]Zidong Du, Daniel D. Ben-Dayan Rubin, Yunji Chen, Liqiang He, Tianshi Chen, Lei Zhang, Chengyong Wu, Olivier Temam:
Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches. MICRO 2015: 494-507 - 2014
- [j12]Shuangde Fang, Zidong Du, Yuntan Fang, Yuanjie Huang, Yang Chen, Lieven Eeckhout, Olivier Temam, Huawei Li, Yunji Chen, Chengyong Wu:
Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach. ACM Trans. Archit. Code Optim. 11(2): 21:1-21:25 (2014) - [c31]Zidong Du, Krishna V. Palem, Lingamneni Avinash, Olivier Temam, Yunji Chen, Chengyong Wu:
Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators. ASP-DAC 2014: 201-206 - [c30]Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam:
DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. ASPLOS 2014: 269-284 - [c29]Jing Huang, Yuanjie Huang, Olivier Temam, Paolo Ienne, Yunji Chen, Chengyong Wu:
A low-cost memory interface for high-throughput accelerators. CASES 2014: 11:1-11:10 - [c26]Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen:
ArchRanker: A ranking approach to design space exploration. ISCA 2014: 85-96 - [c25]Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam:
DaDianNao: A Machine-Learning Supercomputer. MICRO 2014: 609-622 - 2013
- [c24]Yuanjie Huang, Paolo Ienne, Olivier Temam, Yunji Chen, Chengyong Wu:
Elastic CGRAs. FPGA 2013: 171-180 - 2012
- [c22]Tianshi Chen, Yunji Chen, Qi Guo, Olivier Temam, Yue Wu, Weiwu Hu:
Statistical performance comparisons of computers. HPCA 2012: 399-410 - [c20]Tianshi Chen, Yunji Chen, Marc Duranton, Qi Guo, Atif Hashmi, Mikko H. Lipasti, Andrew Nere, Shi Qiu, Michèle Sebag, Olivier Temam:
BenchNN: On the broad potential application scope of hardware neural network accelerators. IISWC 2012: 36-45
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