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Implementing Algorithms for Signal and Image Reconstruction on Graphical Processing Units

Sangkyun Lee (sklee***at***cs.wisc.edu)
Stephen Wright (swright***at***cs.wisc.edu)

Abstract: Several highly effective algorithms that have been proposed recently for compressed sensing and image processing applications can be implemented efficiently on commodity graphical processing units (GPUs). The properties of algorithms and application that make for efficient GPU implementation are discussed, and computational results for several algorithms are presented that show large speedups over CPU implementations.

Keywords: Graphical processing units (GPUs), compressed sensing, image denoising, image deblurring

Category 1: Optimization Software and Modeling Systems (Parallel Algorithms )

Category 2: Convex and Nonsmooth Optimization (Nonsmooth Optimization )

Citation: University of Wisconsin-Madison, Oct/2008

Download: [PDF]

Entry Submitted: 10/31/2008
Entry Accepted: 11/01/2008
Entry Last Modified: 11/07/2008

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