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Wayne Luk

Researcher at Imperial College London

Publications -  737
Citations -  13643

Wayne Luk is an academic researcher from Imperial College London. The author has contributed to research in topics: Field-programmable gate array & Reconfigurable computing. The author has an hindex of 54, co-authored 703 publications receiving 12517 citations. Previous affiliations of Wayne Luk include Fudan University & University of London.

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Enhancing High-Level Synthesis Using a Meta-Programming Approach

TL;DR: Artisan offers complete design-flow orchestration in a unified programming environment based on Python 3 to enable accessible codification of reusable optimisation strategies that can be automatically applied to high-level application descriptions.
Proceedings ArticleDOI

FPGA Acceleration of a Subband Beamforming Algorithm for Speech Enhancement

TL;DR: A particular beamforming algorithm based on the signal-to-noise ratio together with calibrated signals is described to achieve computational efficiency and is implemented in the frequency domain and is accelerated by FPGA.
Journal ArticleDOI

High performance reconfigurable computing for numerical simulation and deep learning

TL;DR: This report summarises and analyses recent FPGA-related efforts, including the latest industrial approaches, the state-of-the-art reconfigurable solutions, and various issues such as on-chip resources and development productivity.
Proceedings ArticleDOI

Custom machine learning architectures: towards realtime anomaly detection for flight testing

TL;DR: An overview of recent research in custom machine learning architectures which have shown promise for highspeed data processing is provided, and a time series learning model based on LSTM (Long Short Term Memory) is proposed, adopted for realtime data analysis used in anomaly detection for the COMAC C919 test flight.
Journal Article

A unified codesign run-time environment for the UltraSONIC reconfigurable computer

TL;DR: In this paper, a codesign environment for the UltraSONIC reconfigurable computing platform which is designed specifically for real-time video applications is presented. And a unified runtime environment for both hardware and software tasks under the control of a task manager is proposed.