Duncan J. M. Moss

According to our database, Duncan J. M. Moss authored at least 15 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

A Two-Speed, Radix-4, Serial-Parallel Multiplier.

Duncan J. M. Moss, David Boland, Philip H. W. Leong

IEEE Trans. Very Large Scale Integr. Syst., 2019

Unrolling Ternary Neural Networks.

Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong

ACM Trans. Reconfigurable Technol. Syst., 2019

2018

Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation.

Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Real-time FPGA-based Anomaly Detection for Radio Frequency Signals.

Duncan J. M. Moss, David Boland, Peyam Pourbeik, Philip Heng Wai Leong

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study.

Duncan J. M. Moss, Krishnan Srivatsan, Eriko Nurvitadhi, Piotr Ratuszniak, Chris Johnson, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017

FPGA Architectures for Low Precision Machine Learning.

Duncan J. M. Moss

PhD thesis, 2017

FPGA Implementations of Kernel Normalised Least Mean Squares Processors.

Nicholas J. Fraser, JunKyu Lee, Duncan J. M. Moss, Julian Faraone, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong

ACM Trans. Reconfigurable Technol. Syst., 2017

Customizable FPGA OpenCL matrix multiply design template for deep neural networks.

Jack Yinger, Eriko Nurvitadhi, Davor Capalija, Andrew C. Ling, Debbie Marr, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra

Proceedings of the International Conference on Field Programmable Technology, 2017

High performance binary neural networks on the Xeon+FPGA™ platform.

Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?

Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra, Guy Boudoukh

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

2015

Distributed kernel learning using Kernel Recursive Least Squares.

Nicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip Heng Wai Leong

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Braiding: A scheme for resolving hazards in kernel adaptive filters.

Stephen Tridgell, Duncan J. M. Moss, Nicholas J. Fraser, Philip Heng Wai Leong

Proceedings of the 2015 International Conference on Field Programmable Technology, 2015

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

Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

2014

Rolling window time series prediction using MapReduce.

Lei Li, Farzad Noorian, Duncan J. M. Moss, Philip Heng Wai Leong

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

An FPGA-based spectral anomaly detection system.

Duncan J. M. Moss, Zhe Zhang, Nicholas J. Fraser, Philip Heng Wai Leong

Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014