Duncan J. M. Moss
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
5
Active years
2014–2018
Best venue rank
A
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | FPGA | 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 |
| 2018 | ISCAS | Real-time FPGA-based Anomaly Detection for Radio Frequency Signals. | Duncan J. M. Moss, David Boland, Peyam Pourbeik, Philip Heng Wai Leong |
| 2017 | FPGA | 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 |
| 2017 | FPL | 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 |
| 2015 | FPL | 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 |
| 2015 | ICASSP | Distributed kernel learning using Kernel Recursive Least Squares. | Nicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip Heng Wai Leong |
| 2014 | IRI | Rolling window time series prediction using MapReduce. | Lei Li, Farzad Noorian, Duncan J. M. Moss, Philip Heng Wai Leong |