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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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Journal ArticleDOI

Reconfigurable computing: architectures and design methods

TL;DR: It is shown that reconfigurable computing designs are capable of achieving up to 500 times speedup and 70% energy savings over microprocessor implementations for specific applications.
Journal ArticleDOI

Accuracy-Guaranteed Bit-Width Optimization

TL;DR: An automated static approach for optimizing bit widths of fixed-point feedforward designs with guaranteed accuracy, called MiniBit, is presented and is demonstrated with polynomial approximation, RGB-to-YCbCr conversion, matrix multiplication, B-splines, and discrete cosine transform placed and routed on a Xilinx Virtex-4 FPGA.
Proceedings ArticleDOI

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

TL;DR: For each platform, the most appropriate algorithm for generating each type of number is determined, then the peak generation rate and estimated power efficiency for each device are calculated.
Journal ArticleDOI

Gaussian random number generators

TL;DR: The algorithms underlying various GRNGs are described, their computational requirements are compared, and the quality of the random numbers are examined with emphasis on the behaviour in the tail region of the Gaussian probability density function.
Journal ArticleDOI

Pipeline vectorization

TL;DR: This paper presents pipeline vectorization, a method for synthesizing hardware pipelines based on software vectorizing compilers that improves efficiency and ease of development of hardware designs, particularly for users with little electronics design experience.