Ruizhe Zhao
Ruizhe Zhao
Research Engineer, DeepMind
Email confirmado em - Página inicial
Citado por
Citado por
Deep neural network approximation for custom hardware: Where we've been, where we're going
E Wang, JJ Davis, R Zhao, HC Ng, X Niu, W Luk, PYK Cheung, ...
ACM Computing Surveys (CSUR) 52 (2), 1-39, 2019
Optimizing CNN-based object detection algorithms on embedded FPGA platforms
R Zhao, X Niu, Y Wu, W Luk, Q Liu
International Symposium on Applied Reconfigurable Computing, 255-267, 2017
Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi
WT Tang, R Zhao, M Lu, Y Liang, HP Huyng, X Li, RSM Goh
2015 IEEE/ACM International Symposium on Code Generation and Optimization …, 2015
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA
R Zhao, HC Ng, W Luk, X Niu
28th International Conference on Field Programmable Logic and Application (FPL), 2018
Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only)
R Zhao, X Niu, W Luk
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
Hardware acceleration for machine learning
R Zhao, W Luk, X Niu, H Shi, H Wang
2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 645-650, 2017
On-chip FPGA debug instrumentation for machine learning applications
D Holanda Noronha, R Zhao, J Goeders, W Luk, SJE Wilton
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
Hardware Compilation of Deep Neural Networks: An Overview
R Zhao, S Liu, HC Ng, E Wang, JJ Davis, X Niu, X Wang, H Shi, ...
29th IEEE International Conference on Application-specific Systems …, 2018
Efficient Structured Pruning and Architecture Searching for Group Convolution
R Zhao, W Luk
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019
Scale-free sparse matrix-vector multiplication on many-core architectures
Y Liang, WT Tang, R Zhao, M Lu, HP Huynh, RSM Goh
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
Polygeist: Raising C to Polyhedral MLIR
WS Moses, L Chelini, R Zhao, O Zinenko
PACT, 2021
Phism: Polyhedral High-Level Synthesis in MLIR
R Zhao, J Cheng
arXiv preprint arXiv:2103.15103, 2021
An overlay for rapid fpga debug of machine learning applications
DH Noronha, R Zhao, Z Que, J Goeders, W Luk, S Wilton
2019 International Conference on Field-Programmable Technology (ICFPT), 135-143, 2019
Learning Grouped Convolution for Efficient Domain Adaptation.
R Zhao, W Luk
arXiv preprint arXiv:1811.09341, 2018
Polygeist: Affine C in MLIR
W Moses, L Chelini, R Zhao, O Zinenko
11th International Workshop on Polyhedral Compilation Techniques (IMPACT), 2021
Adaptive Loss Scaling for Mixed Precision Training
R Zhao, B Vogel, T Ahmed
arXiv preprint arXiv:1910.12385, 2019
DeepPump: Multi-pumping deep neural networks
R Zhao, T Todman, W Luk, X Niu
2017 IEEE 28th International Conference on Application-specific Systems …, 2017
On the challenges in programming mixed-precision deep neural networks
R Zhao, W Luk, C Xiong, X Niu, KH Tsoi
Proceedings of the 4th ACM SIGPLAN International Workshop on Machine …, 2020
Towards in-circuit tuning of deep learning designs
Z Que, DH Noronha, R Zhao, SJE Wilton, W Luk
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2019
Reconfigurable hardware generation for tensor flow models of cnn algorithms on a heterogeneous acceleration platform
J Gao, Y Zhu, M Qiu, KH Tsoi, X Niu, W Luk, R Zhao, Z Que, W Mao, ...
International Conference on Smart Computing and Communication, 87-96, 2018
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