Duncan J. M. Moss

16 papers A 2B 2C 1Misc 2Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	A Two-Speed, Radix-4, Serial-Parallel Multiplier. IEEE Trans. Very Large Scale Integr. Syst. Duncan J. M. Moss, David Boland, Philip H. W. Leong
2019	J	`jnl`	Unrolling Ternary Neural Networks. CoRR Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
2019	J	`jnl`	Unrolling Ternary Neural Networks. ACM Trans. Reconfigurable Technol. Syst. Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
2018	A	`conf`	A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. FPGA 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
2018	—	`conf`	Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation. MILCOM Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong
2018	C	`conf`	Real-time FPGA-based Anomaly Detection for Radio Frequency Signals. ISCAS Duncan J. M. Moss, David Boland, Peyam Pourbeik, Philip Heng Wai Leong
2017	A	`conf`	Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA 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
2017	—	`conf`	Customizable FPGA OpenCL matrix multiply design template for deep neural networks. FPT Jack Yinger, Eriko Nurvitadhi, Davor Capalija, Andrew C. Ling, Debbie Marr, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra
2017	—	`—`	FPGA Architectures for Low Precision Machine Learning. Duncan J. M. Moss
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	B	`conf`	High performance binary neural networks on the Xeon+FPGA™ platform. FPL Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong
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
2014	Misc	`conf`	Rolling window time series prediction using MapReduce. IRI Lei Li, Farzad Noorian, Duncan J. M. Moss, Philip Heng Wai Leong