David Peter Boland

All papers authored by David Peter Boland

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2024 Chuliang Guo

, Binglei Lou

, David Boland

, Philip H. W. Leong

Highly-Parallel CNN Accelerator for RepVGG-like Network Training on FPGAs

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Mohammad Reza Jabbarpour

, Bahman Javadi

, Philip H. W. Leong

, Rodrigo N. Calheiros, David Boland

FedOrbit: Energy Efficient Federated Learning for Orbital Edge Computing Using Block Minifloat Arithmetic

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Carol Jingyi Li

, Richard Rademacher

, David Boland

, Craig T. Jin

, Chad M. Spooner

, Philip H. W. Leong

S$^{3}$CA: A Sparse Strip Spectral Correlation Analyzer

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2023 Mohammad Reza Jabbarpour

, Bahman Javadi

, Philip Leong

, Rodrigo N. Calheiros

, David Boland

, Chris Butler

Performance Analysis of Federated Learning in Orbital Edge Computing

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Kan Shi

, Shuoxiang Xu

, Yuhan Diao

, David Boland

, Yungang Bao

ENCORE: Efficient Architecture Verification Framework with FPGA Acceleration

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Chuliang Guo

, Binglei Lou

, Xueyuan Liu

, David Boland

, Philip H. W. Leong

Single-Batch CNN Training using Block Minifloats on FPGAs

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2022 Xiangwei Li

, Douglas L. Maskell

, Carol Jingyi Li

, Philip H. W. Leong

, David Boland

A Scalable Systolic Accelerator for Estimation of the Spectral Correlation Density Function and Its FPGA Implementation

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Binglei Lou

, David Boland

, Philip H. W. Leong

fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library

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Carol Jingyi Li

, Xiangwei Li

, Binglei Lou

, Craig T. Jin

, David Boland

, Philip H. W. Leong

Fixed-Point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary Analysis

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2020 Joseph Prinable, Peter Jones, David Boland

, Alistair McEwan, Cindy Thamrin

Derivation of Respiratory Metrics in Health and Asthma; Machine Learning Methodology (Preprint)

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This paper is made freely available by the publisher.

Joseph Prinable

, Peter Jones

, David Boland

, Cindy Thamrin

, Alistair McEwan

Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology

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Julian Faraone

, Martin Kumm

, Martin Hardieck, Peter Zipf

, Xueyuan Liu, David Boland

, Philip H. W. Leong

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers

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2019 Duncan J. M. Moss

, David Boland

, Philip H. W. Leong

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

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Joseph Prinable, Peter Jones, David Boland

, Cindy Thamrin, Alistair McEwan

Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology (Preprint)

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2018 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

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Julian Faraone, Giulio Gambardella, Nicholas Fraser, David Boland

, Michaela Blott, Philip H. W. Leong

Customizing Low-Precision Deep Neural Networks for FPGAs

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Duncan J. M. Moss, David Boland

, Peyam Pourbeik, Philip H. W. Leong

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

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Sean Fox, David Boland

, Philip Leong

FPGA Fastfood - A High Speed Systolic Implementation of a Large Scale Online Kernel Method

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2017 Josh Weberruss, Lindsay Kleeman, David Peter Boland

, Tom Drummond

FPGA acceleration of multilevel ORB feature extraction for computer vision

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Simon Joel Schmidt, David Boland

Dynamic bitwidth assignment for efficient dot products

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All papers authored by David Peter Boland