Articles with public access mandates - Nicholas J FraserLearn more
Available somewhere: 15
Finn: A framework for fast, scalable binarized neural network inference
Y Umuroglu, NJ Fraser, G Gambardella, M Blott, P Leong, M Jahre, ...
Proceedings of the 2017 ACM/SIGDA international symposium on field …, 2017
Mandates: Australian Research Council
FINN-R An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
M Blott, TB Preußer, NJ Fraser, G Gambardella, K O’brien, Y Umuroglu, ...
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 11 (3), 1-23, 2018
Mandates: US National Science Foundation, European Commission
Syq: Learning symmetric quantization for efficient deep neural networks
J Faraone, N Fraser, M Blott, PHW Leong
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandates: Australian Research Council
Ps and qs: Quantization-aware pruning for efficient low latency neural network inference
B Hawks, J Duarte, NJ Fraser, A Pappalardo, N Tran, Y Umuroglu
Frontiers in Artificial Intelligence 4, 676564, 2021
Mandates: US National Science Foundation, US Department of Energy
Inference of quantized neural networks on heterogeneous all-programmable devices
TB Preußer, G Gambardella, N Fraser, M Blott
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 833-838, 2018
Mandates: European Commission
Customizing low-precision deep neural networks for FPGAs
J Faraone, G Gambardella, D Boland, N Fraser, M Blott, PHW Leong
2018 28th International Conference on Field Programmable Logic and …, 2018
Mandates: Australian Research Council
Accuracy to throughput trade-offs for reduced precision neural networks on reconfigurable logic
J Su, NJ Fraser, G Gambardella, M Blott, G Durelli, DB Thomas, ...
Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2018
Mandates: Australian Research Council, UK Research & Innovation
Evaluation of optimized cnns on heterogeneous accelerators using a novel benchmarking approach
M Blott, NJ Fraser, G Gambardella, L Halder, J Kath, Z Neveu, ...
IEEE Transactions on Computers 70 (10), 1654-1669, 2020
Mandates: US National Science Foundation
A low latency kernel recursive least squares processor using FPGA technology
Y Pang, S Wang, Y Peng, NJ Fraser, PHW Leong
2013 International Conference on Field-Programmable Technology (FPT), 144-151, 2013
Mandates: Australian Research Council
Compressing low precision deep neural networks using sparsity-induced regularization in ternary networks
J Faraone, N Fraser, G Gambardella, M Blott, PHW Leong
Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017
Mandates: Australian Research Council
A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation
NJ Fraser, DJM Moss, JK Lee, S Tridgell, CT Jin, PHW Leong
2015 25th International Conference on Field Programmable Logic and …, 2015
Mandates: Australian Research Council
A microcoded kernel recursive least squares processor using FPGA technology
Y Pang, S Wang, Y Peng, X Peng, NJ Fraser, PHW Leong
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (1), 1-22, 2016
Mandates: Australian Research Council, National Natural Science Foundation of China
Braiding: A scheme for resolving hazards in kernel adaptive filters
S Tridgell, DJM Moss, NJ Fraser, PHW Leong
2015 International Conference on Field Programmable Technology (FPT), 136-143, 2015
Mandates: Australian Research Council
FPGA implementations of kernel normalised least mean squares processors
NJ Fraser, J Lee, DJM Moss, J Faraone, S Tridgell, CT Jin, PHW Leong
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (4), 1-20, 2017
Mandates: Australian Research Council
Distributed kernel learning using kernel recursive least squares
NJ Fraser, DJM Moss, N Epain, PHW Leong
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
Mandates: Australian Research Council
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