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Books and Theses
- 2017
[b1]Duncan J. M. Moss:
FPGA Architectures for Low Precision Machine Learning. University of Sydney, Australia, 2017
Journal Articles
- 2019
- [j3]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): 22:1-22:23 (2019) - [j2]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): 769-777 (2019) - 2017
- [j1]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): 26:1-26:20 (2017)
Conference and Workshop Papers
- 2018
- [c11]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: 107-116 - [c10]Duncan J. M. Moss, David Boland, Peyam Pourbeik, Philip Heng Wai Leong:
Real-time FPGA-based Anomaly Detection for Radio Frequency Signals. ISCAS 2018: 1-5 - [c9]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: 1-9 - 2017
- [c8]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: 5-14 - [c7]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: 1-4 - [c6]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: 259-262 - 2015
- [c5]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: 1-6 - [c4]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: 136-143 - [c3]Nicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip Heng Wai Leong:
Distributed kernel learning using Kernel Recursive Least Squares. ICASSP 2015: 5500-5504 - 2014
- [c2]Duncan J. M. Moss, Zhe Zhang, Nicholas J. Fraser, Philip Heng Wai Leong:
An FPGA-based spectral anomaly detection system. FPT 2014: 175-182 - [c1]Lei Li, Farzad Noorian, Duncan J. M. Moss, Philip Heng Wai Leong:
Rolling window time series prediction using MapReduce. IRI 2014: 757-764
Informal and Other Publications
- 2019
- [i1]Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong:
Unrolling Ternary Neural Networks. CoRR abs/1909.04509 (2019)
Coauthor Index
aka: Philip Heng Wai Leong
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