Yunji Chen (陈云霁)
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Dadiannao: A machine-learning supercomputer
Y Chen, T Luo, S Liu, S Zhang, L He, J Wang, L Li, T Chen, Z Xu, N Sun, ...
Proceedings of the 47th Annual IEEE/ACM International Symposium on …, 2014
DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning
T Chen, Z Du, N Sun, J Wang, C Wu, Y Chen, O Temam
Proceedings of the 19th international conference on Architectural support …, 2014
ShiDianNao: Shifting vision processing closer to the sensor
Z Du, R Fasthuber, T Chen, P Ienne, L Li, T Luo, X Feng, Y Chen, ...
Proceedings of the 42nd Annual International Symposium on Computer …, 2015
Cambricon-X: An accelerator for sparse neural networks
S Zhang, Z Du, L Zhang, H Lan, S Liu, L Li, Q Guo, T Chen, Y Chen
Microarchitecture (MICRO), 2016 49th Annual IEEE/ACM International Symposium …, 2016
PuDianNao: A Polyvalent Machine Learning Accelerator
D Liu, T Chen, S Liu, J Zhou, S Zhou, O Teman, X Feng, X Zhou, Y Chen
Proceedings of the Twentieth International Conference on Architectural …, 2015
Cambricon: An instruction set architecture for neural networks
S Liu, Z Du, J Tao, D Han, T Luo, Y Xie, Y Chen, T Chen
Proceedings of the 43rd International Symposium on Computer Architecture …, 2016
DianNao family: energy-efficient hardware accelerators for machine learning
Y Chen, T Chen, Z Xu, N Sun, O Temam
Communications of the ACM 59 (11), 105-112, 2016
DaDianNao: A Neural Network Supercomputer
T Luo, S Liu, L Li, Y Wang, S Zhang, T Chen, Z Xu, O Temam, Y Chen
IEEE Transactions on Computers 66 (1), 73-88, 2017
Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach
X Zhou, Z Du, Q Guo, S Liu, C Liu, C Wang, X Zhou, L Li, T Chen, Y Chen
2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018
Godson-3: A scalable multicore RISC processor with X86 emulation
W Hu, J Wang, X Gao, Y Chen, Q Liu, G Li
IEEE micro 29 (2), 17-29, 2009
Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators
Z Du, A Lingamneni, Y Chen, K Palem, O Temam, C Wu
Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific …, 2014
BenchNN: On the broad potential application scope of hardware neural network accelerators
T Chen, Y Chen, M Duranton, Q Guo, A Hashmi, M Lipasti, A Nere, S Qiu, ...
Workload Characterization (IISWC), 2012 IEEE International Symposium on, 36-45, 2012
Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches
Z Du, DD Ben-Dayan Rubin, Y Chen, L He, T Chen, L Zhang, C Wu, ...
Proceedings of the 48th International Symposium on Microarchitecture, 494-507, 2015
Elastic cgras
Y Huang, P Ienne, O Temam, Y Chen, C Wu
Proceedings of the ACM/SIGDA international symposium on Field programmable …, 2013
Tdsnn: From deep neural networks to deep spike neural networks with temporal-coding
L Zhang, S Zhou, T Zhi, Z Du, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1319-1326, 2019
Statistical performance comparisons of computers
T Chen, Q Guo, O Temam, Y Wu, Y Bao, Z Xu, Y Chen
IEEE Transactions on Computers 64 (5), 1442-1455, 2015
Deterministic replay: A survey
Y Chen, S Zhang, Q Guo, L Li, R Wu, T Chen
ACM Computing Surveys (CSUR) 48 (2), 17, 2015
A Small-Footprint Accelerator for Large-Scale Neural Networks
T Chen, S Zhang, S Liu, Z Du, T Luo, Y Gao, J Liu, D Wang, C Wu, N Sun, ...
ACM Transactions on Computer Systems (TOCS) 33 (2), 6, 2015
Effective and efficient microprocessor design space exploration using unlabeled design configurations
T Chen, Y Chen, Q Guo, ZH Zhou, L Li, Z Xu
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 20, 2013
Effective and efficient microprocessor design space exploration using unlabeled design configurations
Q Guo, T Chen, Y Chen, ZH Zhou, W Hu, Z Xu
IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011
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