Expectation Maximization of Gaussian Mixture Models via CUDA: compile.m - File Exchange

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Highlights from
Expectation Maximization of Gaussian Mixture Models via CUDA

errorellipse(mu,sigma,stdev,n...
gmm_test(num_clusts, num_dims... GMM_TEST - runs the EM algorithm on random data on the GPU
nvmex(varargin) MEX Compile MEX-function
nvmex_helper(varargin) MEX_HELPER is a helper function that contains the code that MEX.M (an
compile.m
experiment1.m
experiment2.m
experiment3.m
gmm_example.m
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from Expectation Maximization of Gaussian Mixture Models via CUDA by Andrew Harp
CUDA enabled parallel EM for Gaussian Mixture Models, providing over 100x performance increases.

compile.m

% Compiles the Mex interface.
% See http://developer.nvidia.com/object/matlab_cuda.html for more information.
%
% Andrew Harp (andrew.harp@gmail.com)
% http://andrewharp.com/gmmcuda
mex cpugmm.cpp
nvmex -f nvmexopts.bat gmm.cu -IC:\cuda\include -LC:\cuda\lib -lcudart

Highlights from Expectation Maximization of Gaussian Mixture Models via CUDA

Highlights from
Expectation Maximization of Gaussian Mixture Models via CUDA