Ruizhe Cai
Ruizhe Cai
Research Scientist at Facebook, Inc.
Dirección de correo verificada de fb.com
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Año
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
322018
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
202018
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation
H Li, R Cai, N Liu, X Lin, Y Wang
Nano communication networks 16, 81-90, 2018
132018
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
92019
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
82017
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
42019
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
42016
Hardware acceleration of bayesian neural networks using RAM based linear feedback gaussian random number generators
R Cai, A Ren, L Wangy, M Pedramy, Y Wang
2017 IEEE International Conference on Computer Design (ICCD), 289-296, 2017
32017
Adiabatic quantum-flux-parametron: Towards building extremely energy-efficient circuits and systems
O Chen, R Cai, Y Wang, F Ke, T Yamae, R Saito, N Takeuchi, ...
Scientific reports 9 (1), 1-10, 2019
22019
Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems
A Ren, S Liu, R Cai, W Wen, PK Varshney, Y Wang
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 788-793, 2017
22017
Memristor-based discrete fourier transform for improving performance and energy efficiency
R Cai, A Ren, Y Wang, B Yuan
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 643-648, 2016
22016
A buffer and splitter insertion framework for adiabatic quantum-flux-parametron superconducting circuits
R Cai, O Chen, A Ren, N Liu, N Yoshikawa, Y Wang
2019 IEEE 37th International Conference on Computer Design (ICCD), 429-436, 2019
12019
Emerging Opportunities in Machine Learning Hardware Acceleration: From Advanced Neural Networks Implementation to Ultra-efficient Deep Learning Framework Using Next Generation …
R Cai
PQDT-UK & Ireland, 2020
2020
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits
R Cai, X Ma, O Chen, A Ren, N Liu, N Yoshikawa, Y Wang
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 187-192, 2019
2019
A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal–dual interior point method using memristor crossbars
R Cai, A Ren, S Soundarajan, Y Wang
Nano communication networks 18, 62-71, 2018
2018
Abdel Ghany, Mohamed Abdelrehim, Mostafa
K Abhishek, D Almasi, AI Azam, M Bai, Z Bai, M Bansal, N Batra, J Bhadra, ...
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