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Grace Woo

E-mail: grace.r.woo@gmail.com

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Professional Interests:: signal processing, barcode, imaging, networking

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05 Oct 2006		Galois Field Array to Decimal Array Conversion convert fg array to decimal numbers Author: Murad Qahwash	gf, information theory, mfile, m, coding theory, reed solomon	48	6	4.8 4.8 \| 5 ratings

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File	Fast 2D GPU-based convolution

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16 Jul 2008		Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution Author: Alexander Huth	2d convolution, cuda, fast mex	62	7	4.25 4.2 \| 4 ratings

Comments and Ratings Matching Grace's Watch List			1-5 of 7
Date	File	Comment by	Comments	Rating
04 May 2009	Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution	Don	I have not ventured outside of matlab yet. How to I compile this code so I can run it? -D	Comment only
24 Apr 2009	Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution	Jveer	finally functions that use the GPU!	4
24 Apr 2009	Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution	Bernd	The convolution is very fast and pretty accurate for the 'valid' part of an 2D signal (except the known double-single precision difference), but there are big differences near the edges if using 'same' shape. Therefore I wrote a piece of shaping code to treat it like conv2. Please test and report any coding mistakes!!! ____________________________________________________ function [newimage] = cudaconv2(image,filter,shape) if nargin == 2 shape = 'full'; end if (strcmp(shape, 'full')) % it's not a real 'full' convolution !!!!! [im in] = size(image); [fm fn] = size(filter); outM1 = 1; outN1 = 1; image2 = zeros(im+fm-1, in+fn-1); image2(round(fm/2):round(im + fm/2 - ...1),round(fn/2):round(in + fn/2 - 1)) = image(1:end,1:end); output = cudaconv(image2,filter); [outM2, outN2] = size(output); elseif (strcmp(shape, 'same')) % large differences on the edges output = cudaconv(image,filter); [Am An] = size(image); outM1 = 1; outN1 = 1; outM2 = Am; outN2 = An; elseif (strcmp(shape, 'valid')) % very accurate output = cudaconv(image,filter); [Am An] = size(image); [Cm Rn] = size(filter); outM1 = round(Cm/2); outN1 = round(Rn/2); outM2 = round(Am - Cm/2); outN2 = round(An - Rn/2); else disp('Shape type not valid'); return; end newimage = output(outM1:outM2,outN1:outN2); ____________________________________________________	4
09 Apr 2009	Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution	Yi Cao	It works as expected on my Geforce 8400 GPU.	5
01 Mar 2009	Fast 2D GPU-based convolution Graphics chip assisted fast 2d convolution	Bjorn Bjorno	To solve the problem with the zeros output (see previous message by Simon Knight), run the NVIDA CUDA toolkit installer again, opt for the customized installation and check 'CUDAKext'. After rebooting, the cudaconv function should run perfectly.	Comment only

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