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Erwei Wang
Erwei Wang
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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
2282019
LUTNet: Rethinking inference in FPGA soft logic
E Wang, JJ Davis, PYK Cheung, GA Constantinides
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
762019
LUTNet: Learning FPGA configurations for highly efficient neural network inference
E Wang, JJ Davis, PYK Cheung, GA Constantinides
IEEE Transactions on Computers 69 (12), 1795-1808, 2020
582020
Automatic generation of multi-precision multi-arithmetic CNN accelerators for FPGAs
Y Zhao, X Gao, X Guo, J Liu, E Wang, R Mullins, PYK Cheung, ...
2019 International Conference on Field-Programmable Technology (ICFPT), 45-53, 2019
412019
A PYNQ-based framework for rapid CNN prototyping
E Wang, JJ Davis, PYK Cheung
2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018
382018
Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks
D Joksas, E Wang, N Barmpatsalos, WH Ng, AJ Kenyon, ...
Advanced Science 9 (17), 2105784, 2022
272022
Enabling binary neural network training on the edge
E Wang, JJ Davis, D Moro, P Zielinski, JJ Lim, C Coelho, S Chatterjee, ...
Proceedings of the 5th international workshop on embedded and mobile deep …, 2021
192021
Accelerating recurrent neural networks for gravitational wave experiments
Z Que, E Wang, U Marikar, E Moreno, J Ngadiuba, H Javed, ...
2021 IEEE 32nd International Conference on Application-specific Systems …, 2021
182021
Hardware compilation of deep neural networks: An overview
R Zhao, S Liu, HC Ng, E Wang, JJ Davis, X Niu, X Wang, H Shi, ...
2018 IEEE 29Th international conference on application-specific systems …, 2018
172018
Logic shrinkage: Learned FPGA netlist sparsity for efficient neural network inference
E Wang, JJ Davis, GI Stavrou, PYK Cheung, GA Constantinides, ...
Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022
102022
Enabling binary neural network training on the edge
E Wang, JJ Davis, D Moro, P Zielinski, JJ Lim, C Coelho, S Chatterjee, ...
ACM Transactions on Embedded Computing Systems 22 (6), 1-19, 2023
22023
Mitigating non-idealities of memristive-based artificial neural networks-an algorithmic approach
A Mehonic, D Joksas, N Barmpatsalos, WH Ng, AJ Kenyon, E Wang, ...
2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM …, 2022
22022
Accelerating position-aware top-k ListNet for ranking under custom precision regimes
Q Li, E Wang, ST Fleming, DB Thomas, PYK Cheung
2019 29th international conference on field programmable logic and …, 2019
22019
Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks
E Wang, M Auffret, GI Stavrou, PYK Cheung, GA Constantinides, ...
ACM Transactions on Reconfigurable Technology and Systems 16 (4), 1-25, 2023
2023
FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation
M Auffret, E Wang, JJ Davis
2022 32nd International Conference on Field-Programmable Logic and …, 2022
2022
IEEE: Accelerating Recurrent Neural Networks for Gravitational Wave Experiments
Z Que, V Loncar, H Javed, E Wang, U Marikar, T Aarrestad, J Ngadiuba, ...
2021
Rethinking binary neural network design for FPGA implementation
E Wang
Imperial College London, 2021
2021
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Artikler 1–17