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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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Leveraging FPGAs for Accelerating Short Read Alignment

TL;DR: This architecture exploits the reconfigurability of FPGAs to allow the development of fast yet flexible alignment designs, and is implemented and evaluated on a 1U Maxeler MPC-X2000 dataflow node with eight Altera Stratix-V FPGA.
Proceedings ArticleDOI

Optimum wordlength allocation

TL;DR: This paper presents an approach to the wordlength allocation and optimization problem for linear digital signal processing systems implemented in Field-Programmable Gate Arrays, and guarantees an optimum set of wordlengths for each internal variable.
Proceedings ArticleDOI

An Overview of Low-Power Techniques for Field-Programmable Gate Arrays

TL;DR: This paper provides an overview of low-power techniques for field-programmable gate arrays (FPGAs) and proposes future work that would enable the use of FPGA technology in applications where power and energy consumption is critical, such as mobile devices.
Proceedings ArticleDOI

A Reconfigurable Computing Approach for Efficient and Scalable Parallel Graph Exploration

TL;DR: This paper presents a reconfigurable hardware methodology for efficient parallel processing of large-scale graph exploration problems and achieves performance results that are superior to those of high performance multi-core systems in the recent literature for large graph instances.
Journal ArticleDOI

MR Safe Robotic Manipulator for MRI-Guided Intracardiac Catheterization

TL;DR: A robotic manipulator to realize robot-assisted intracardiac catheterization in magnetic resonance imaging (MRI) environment is introduced and the first MR Safe robot is presented, designed particularly for cardiac electrophysiological (EP) intervention.