Ao Ren
Title
Cited by
Cited by
Year
Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing
A Ren, Z Li, C Ding, Q Qiu, Y Wang, J Li, X Qian, B Yuan
ACM SIGPLAN Notices 52 (4), 405-418, 2017
1362017
Admm-nn: An algorithm-hardware co-design framework of dnns using alternating direction methods of multipliers
A Ren, T Zhang, S Ye, J Li, W Xu, X Qian, X Lin, Y Wang
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
832019
Towards acceleration of deep convolutional neural networks using stochastic computing
J Li, A Ren, Z Li, C Ding, B Yuan, Q Qiu, Y Wang
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 115-120, 2017
482017
Dscnn: Hardware-oriented optimization for stochastic computing based deep convolutional neural networks
Z Li, A Ren, J Li, Q Qiu, Y Wang, B Yuan
2016 IEEE 34th International Conference on Computer Design (ICCD), 678-681, 2016
472016
Deep reinforcement learning: Framework, applications, and embedded implementations
H Li, T Wei, A Ren, Q Zhu, Y Wang
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 847-854, 2017
452017
Vibnn: Hardware acceleration of bayesian neural networks
R Cai, A Ren, N Liu, C Ding, L Wang, X Qian, M Pedram, Y Wang
ACM SIGPLAN Notices 53 (2), 476-488, 2018
402018
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks
J Li, Z Yuan, Z Li, C Ding, A Ren, Q Qiu, J Draper, Y Wang
2017 International Joint Conference on Neural Networks (IJCNN), 1230-1236, 2017
402017
Designing reconfigurable large-scale deep learning systems using stochastic computing
A Ren, Z Li, Y Wang, Q Qiu, B Yuan
2016 IEEE International Conference on Rebooting Computing (ICRC), 1-7, 2016
332016
7.5 A 65nm 0.39-to-140.3 TOPS/W 1-to-12b unified neural network processor using block-circulant-enabled transpose-domain acceleration with 8.1× higher TOPS/mm 2 and 6T HBST …
J Yue, R Liu, W Sun, Z Yuan, Z Wang, YN Tu, YJ Chen, A Ren, Y Wang, ...
2019 IEEE International Solid-State Circuits Conference-(ISSCC), 138-140, 2019
322019
Structural design optimization for deep convolutional neural networks using stochastic computing
Z Li, A Ren, J Li, Q Qiu, B Yuan, J Draper, Y Wang
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
312017
HEIF: Highly efficient stochastic computing-based inference framework for deep neural networks
Z Li, J Li, A Ren, R Cai, C Ding, X Qian, J Draper, B Yuan, J Tang, Q Qiu, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
262018
Normalization and dropout for stochastic computing-based deep convolutional neural networks
J Li, Z Yuan, Z Li, A Ren, C Ding, J Draper, S Nazarian, Q Qiu, B Yuan, ...
Integration 65, 395-403, 2019
192019
Softmax regression design for stochastic computing based deep convolutional neural networks
Z Yuan, J Li, Z Li, C Ding, A Ren, B Yuan, Q Qiu, J Draper, Y Wang
Proceedings of the on Great Lakes Symposium on VLSI 2017, 467-470, 2017
182017
Structured weight matrices-based hardware accelerators in deep neural networks: Fpgas and asics
C Ding, A Ren, G Yuan, X Ma, J Li, N Liu, B Yuan, Y Wang
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 353-358, 2018
172018
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology
R Cai, A Ren, O Chen, N Liu, C Ding, X Qian, J Han, W Luo, N Yoshikawa, ...
2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture …, 2019
142019
An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing
X Ma, Y Zhang, G Yuan, A Ren, Z Li, J Han, J Hu, Y Wang
2018 19th International Symposium on Quality Electronic Design (ISQED), 314-321, 2018
142018
Memristor crossbar-based ultra-efficient next-generation baseband processors
G Yuan, C Ding, R Cai, X Ma, Z Zhao, A Ren, B Yuan, Y Wang
2017 IEEE 60th International Midwest Symposium on Circuits and Systems …, 2017
112017
A majority logic synthesis framework for adiabatic quantum-flux-parametron superconducting circuits
R Cai, O Chen, A Ren, N Liu, C Ding, N Yoshikawa, Y Wang
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 189-194, 2019
82019
Ultra-fast robust compressive sensing based on memristor crossbars
S Liu, A Ren, Y Wang, PK Varshney
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
72017
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars
R Cai, A Ren, Y Wang, S Soundarajan, Q Qiu, B Yuan, P Bogdan
2016 29th IEEE International System-on-Chip Conference (SOCC), 317-322, 2016
52016
The system can't perform the operation now. Try again later.
Articles 1–20