Duncan J. M. Moss

ORCID

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 10

Top Venues

FPT

ACM Trans. Reconfigurable Technol. Syst.

FPL

FPGA

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Duncan J. M. Moss, David Boland, Philip H. W. Leong
A Two-Speed, Radix-4, Serial-Parallel Multiplier. IEEE Trans. Very Large Scale Integr. Syst. 27 (4) (2019)
Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
Unrolling Ternary Neural Networks. CoRR (2019)
Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
Unrolling Ternary Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 12 (4) (2019)
Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong
Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation. MILCOM (2018)
Duncan J. M. Moss, David Boland, Peyam Pourbeik, Philip Heng Wai Leong
Real-time FPGA-based Anomaly Detection for Radio Frequency Signals. ISCAS (2018)
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
A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. FPGA (2018)
Nicholas J. Fraser, JunKyu Lee, Duncan J. M. Moss, Julian Faraone, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong
FPGA Implementations of Kernel Normalised Least Mean Squares Processors. ACM Trans. Reconfigurable Technol. Syst. 10 (4) (2017)
Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong
High performance binary neural networks on the Xeon+FPGA™ platform. FPL (2017)
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
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA (2017)
Jack Yinger, Eriko Nurvitadhi, Davor Capalija, Andrew C. Ling, Debbie Marr, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra
Customizable FPGA OpenCL matrix multiply design template for deep neural networks. FPT (2017)
Stephen Tridgell, Duncan J. M. Moss, Nicholas J. Fraser, Philip Heng Wai Leong
Braiding: A scheme for resolving hazards in kernel adaptive filters. FPT (2015)
Nicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip Heng Wai Leong
Distributed kernel learning using Kernel Recursive Least Squares. ICASSP (2015)
Nicholas J. Fraser, Duncan J. M. Moss, JunKyu Lee, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong
A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation. FPL (2015)
Duncan J. M. Moss, Zhe Zhang, Nicholas J. Fraser, Philip Heng Wai Leong
An FPGA-based spectral anomaly detection system. FPT (2014)
Lei Li, Farzad Noorian, Duncan J. M. Moss, Philip Heng Wai Leong
Rolling window time series prediction using MapReduce. IRI (2014)

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Publication Activity (10 Years)

Top Topics

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Duncan J. M. Moss