Nicholas J. Fraser

41 papers A* 1A 5B 2C 1Misc 3Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MixQuant: Pushing the Limits of Block Rotations in Post-Training Quantization. CoRR Sai Sanjeet, Ian Colbert, Pablo Monteagudo-Lago, Giuseppe Franco, Yaman Umuroglu, Nicholas J. Fraser
2025	A	`conf`	Greater than the Sum of its LUTs: Scaling Up LUT-based Neural Networks with AmigoLUT. FPGA Olivia Weng, Marta Andronic, Danial Zuberi, Jiaqing Chen, Caleb Geniesse, George A. Constantinides, Nhan Tran, Nicholas J. Fraser, Javier Mauricio Duarte, Ryan Kastner
2025	J	`jnl`	Improving Quantization with Post-Training Model Expansion. CoRR Giuseppe Franco, Pablo Monteagudo-Lago, Ian Colbert, Nicholas J. Fraser, Michaela Blott
2024	Misc	`conf`	Synthesis of LUT Networks for Random-Looking Dense Functions with Don't Cares - Towards Efficient FPGA Implementation of DNN. FCCM Yukio Miyasaka, Alan Mishchenko, John Wawrzynek, Nicholas J. Fraser
2023	J	`jnl`	Fault-Tolerant Neural Network Accelerators With Selective TMR. IEEE Des. Test Timoteo García Bertoa, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, John McAllister
2021	J	`jnl`	Evaluation of Optimized CNNs on Heterogeneous Accelerators Using a Novel Benchmarking Approach. IEEE Trans. Computers Michaela Blott, Nicholas J. Fraser, Giulio Gambardella, Lisa Halder, Johannes Kath, Zachary Neveu, Yaman Umuroglu, Alina Vasilciuc, Miriam Leeser, Linda Doyle
2021	J	`jnl`	Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference. Frontiers Artif. Intell. Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
2021	J	`jnl`	Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference. CoRR Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
2021	—	`conf`	Trainable Preprocessing for Reduced Precision Neural Networks. EUSIPCO Gábor Csordás, Kristof Denolf, Nicholas J. Fraser, Alessandro Pappalardo, Kees A. Vissers
2020	A	`conf`	Evaluation of Optimized CNNs on FPGA and non-FPGA based Accelerators using a Novel Benchmarking Approach. FPGA Michaela Blott, Johannes Kath, Lisa Halder, Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Miriam Leeser, Linda Doyle
2020	A	`conf`	FAT: Training Neural Networks for Reliable Inference Under Hardware Faults. ITC Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers
2020	J	`jnl`	FAT: Training Neural Networks for Reliable Inference Under Hardware Faults. CoRR Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers
2020	Misc	`conf`	High-Throughput DNN Inference with LogicNets. FCCM Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
2020	J	`jnl`	Kernel Normalised Least Mean Squares with Delayed Model Adaptation. ACM Trans. Reconfigurable Technol. Syst. Nicholas J. Fraser, Philip H. W. Leong
2020	J	`jnl`	LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. CoRR Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
2020	—	`conf`	Memory-Efficient Dataflow Inference for Deep CNNs on FPGA. FPT Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott
2020	J	`jnl`	Memory-Efficient Dataflow Inference for Deep CNNs on FPGA. CoRR Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott
2018	—	`conf`	Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic. ARC Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018	J	`jnl`	Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic. CoRR Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018	B	`conf`	Customizing Low-Precision Deep Neural Networks for FPGAs. FPL Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland
2018	J	`jnl`	FINN- ACM Trans. Reconfigurable Technol. Syst. Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser, Kees A. Vissers
2018	J	`jnl`	FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. CoRR Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu
2018	J	`jnl`	Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices. CoRR Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott
2018	A	`conf`	Inference of quantized neural networks on heterogeneous all-programmable devices. DATE Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott
2018	J	`jnl`	SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. CoRR Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong
2018	A*	`conf`	SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. CVPR Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
2018	J	`jnl`	Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. CoRR Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser
2017	—	`conf`	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. ICONIP (2) Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
2017	J	`jnl`	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. CoRR Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
2017	A	`conf`	FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. FPGA Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2017	J	`jnl`	FPGA Implementations of Kernel Normalised Least Mean Squares Processors. ACM Trans. Reconfigurable Technol. Syst. Nicholas J. Fraser, JunKyu Lee, Duncan J. M. Moss, Julian Faraone, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong
2017	—	`conf`	Scaling Binarized Neural Networks on Reconfigurable Logic. PARMA-DITAM@HiPEAC Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2017	J	`jnl`	Scaling Binarized Neural Networks on Reconfigurable Logic. CoRR Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2017	C	`conf`	Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. ICCD Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser
2016	J	`jnl`	A Microcoded Kernel Recursive Least Squares Processor Using FPGA Technology. ACM Trans. Reconfigurable Technol. Syst. Yeyong Pang, Shaojun Wang, Yu Peng, Xiyuan Peng, Nicholas J. Fraser, Philip Heng Wai Leong
2016	J	`jnl`	FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. CoRR Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2015	B	`conf`	A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation. FPL Nicholas J. Fraser, Duncan J. M. Moss, JunKyu Lee, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong
2015	—	`conf`	Braiding: A scheme for resolving hazards in kernel adaptive filters. FPT Stephen Tridgell, Duncan J. M. Moss, Nicholas J. Fraser, Philip Heng Wai Leong
2015	Misc	`conf`	Distributed kernel learning using Kernel Recursive Least Squares. ICASSP Nicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip Heng Wai Leong
2014	—	`conf`	An FPGA-based spectral anomaly detection system. FPT Duncan J. M. Moss, Zhe Zhang, Nicholas J. Fraser, Philip Heng Wai Leong
2013	—	`conf`	A low latency kernel recursive least squares processor using FPGA technology. FPT Yeyong Pang, Shaojun Wang, Yu Peng, Nicholas J. Fraser, Philip Heng Wai Leong