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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.
Papers
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Proceedings ArticleDOI
A declarative framework for developing parametrised hardware libraries
Steve McKeever,Wayne Luk +1 more
TL;DR: A family of languages based on Pebble are presented that span various levels of abstraction, from higher-order polymorphic descriptions to flattened netlists, and it is indicated how these mechanisms provide an infrastructure in which correctness of design and design tools can be established.
Book ChapterDOI
UNITE: Uniform Hardware-Based Network Intrusion deTection Engine
TL;DR: In this paper, the authors proposed a packet processing engine called UNITE that deploys a uniform hardware architecture to perform both header classification and payload signature extraction utilising a Content Addressable Memory (CAM) which is optimized by techniques based on Binary Decision Diagrams (BDDs).
Book ChapterDOI
Automated Framework for General-Purpose Genetic Algorithms in FPGAs
TL;DR: An automated framework for creating and executing general-purpose GAs in FPGAs, which contains a scalable and customisable hardware architecture, which provides a unified platform for both binary and real-valued chromosomes.
Book ChapterDOI
Optimizing CNN-based Hyperspectral Image Classification on FPGAs
TL;DR: In this paper, the authors proposed a novel CNN-based algorithm for hyperspectral image classification which takes into account hardware efficiency and thus is more hardware friendly compared to prior CNN models.
Journal ArticleDOI
Improving communication latency with the write-only architecture
TL;DR: This paper provides formal assignment results for software benchmarks partitioned using the Write-Only Architecture and previous execution paradigms for distributed heterogeneous architectures along with bounds and complexity information to demonstrate the robust performance improvements possible with the WOA.