Nicholas J. Fraser
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
9
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | FPGA | Greater than the Sum of its LUTs: Scaling Up LUT-based Neural Networks with AmigoLUT. | Olivia Weng, Marta Andronic, Danial Zuberi, Jiaqing Chen, Caleb Geniesse, George A. Constantinides, Nhan Tran, Nicholas J. Fraser, Javier Mauricio Duarte, Ryan Kastner |
| 2024 | FCCM | Synthesis of LUT Networks for Random-Looking Dense Functions with Don't Cares - Towards Efficient FPGA Implementation of DNN. | Yukio Miyasaka, Alan Mishchenko, John Wawrzynek, Nicholas J. Fraser |
| 2020 | FCCM | High-Throughput DNN Inference with LogicNets. | Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott |
| 2020 | FPGA | Evaluation of Optimized CNNs on FPGA and non-FPGA based Accelerators using a Novel Benchmarking Approach. | Michaela Blott, Johannes Kath, Lisa Halder, Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Miriam Leeser, Linda Doyle |
| 2020 | ITC | FAT: Training Neural Networks for Reliable Inference Under Hardware Faults. | Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers |
| 2018 | CVPR | SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. | Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong |
| 2018 | DATE | Inference of quantized neural networks on heterogeneous all-programmable devices. | Thomas B. Preuer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott |
| 2018 | FPL | Customizing Low-Precision Deep Neural Networks for FPGAs. | Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland |
| 2017 | FPGA | FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. | Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers |
| 2017 | ICCD | Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. | Michaela Blott, Thomas B. Preuer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser |
| 2017 | ICONIP | Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. | Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong |
| 2015 | FPL | A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation. | Nicholas J. Fraser, Duncan J. M. Moss, JunKyu Lee, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong |
| 2015 | ICASSP | Distributed kernel learning using Kernel Recursive Least Squares. | Nicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip Heng Wai Leong |