# Cuda jpeg decoder c project and source code

The following C project contains the C source code and C examples used for cuda jpeg decoder. decode jpeg files in GPU using cuda and map it as direct3D texture

The following Matlab project contains the source code and Matlab examples used for example of cuda and matlab and nothing else (for windows).
This is a "Hello World"-style example that shows a simple way to directly work with CUDA (Nvidia's supercomputing-on-your-gpu toolkit) from MATLAB.

The following Matlab project contains the source code and Matlab examples used for c2m.
batch process
% if { if
% } end
% else { ==> else
% } end
% end
% else ==> else
% 'else if' ==> 'elseif'
% 'int' ==> '//int'
% 'double', '//double'
% void (a, %void (a,
% b) ==> % b)
% '#' ==> '//#'
% /* % /*
% * ==> % *
% */ % */
% '//' ==> '%'
% for(i = 0; i < 6; i++) ==> for i = 1:6 %(i = 0; i < 6; i++)

The following Matlab project contains the source code and Matlab examples used for a cuda accelerated beam propagation method [bpm] solver using the parallel computing toolbox.
The parallel computing toolbox version 5.

The following Matlab project contains the source code and Matlab examples used for nvcc cuda compiler wraper.
This function NVCC is a wraper for the NVIDIA Cuda compiler NVCC.

The following Matlab project contains the source code and Matlab examples used for example, matlab r2010b cuda conv2 on gpu using cuda kernels .
GPUCONV2 Two dimensional convolution on the GPU using Cuda.

The following Matlab project contains the source code and Matlab examples used for color balance demo with gpu computing.
This demo shows how to identify bottlenecks in code that is run on a CPU using the MATLAB Profiler.

The following Matlab project contains the source code and Matlab examples used for matlab for cuda programmers.
Runnable demos showcasing the GPU computing capabilities of Parallel Computing Toolbox. Comes with a reference implementation in non-GPU MATLAB used to verify the correctness of the GPU implementation.

The following Matlab project contains the source code and Matlab examples used for poly2mask using gpu.
poly2mask using GPU
Format:
mask = poly2mask_gpu(x, y, m, n)
same format as Matlab's poly2mask:
http://www.

The following Matlab project contains the source code and Matlab examples used for cuda mex.
This small script modifies the files used by MATLAB to compile mex-functions within MATLAB so that CUDA is supported.

The following Matlab project contains the source code and Matlab examples used for fast 2d gpu based convolution.
cudaconv - Performs 2d convolution using an NVIDIA graphics chipset.

The following Matlab project contains the source code and Matlab examples used for cuda convolution filter.
1.

bilinear interpolation is an extension of linear interpolation for interpolating functions of two variables (e.g., x and y) on a regular 2D grid.

The following matlab project contains the source code and matlab examples used for bilinear interpolation.

The following Matlab project contains the source code and Matlab examples used for nvidia cuda based bilinear (2d) interpolation.
This code was inspired by Alexander Huth's bilinear interpolation approach
( http://www.

The following Matlab project contains the source code and Matlab examples used for 2d cuda based bilinear interpolation.
This MEX performs 2d bilinear interpolation using an NVIDIA graphics chipset.

The following Matlab project contains the source code and Matlab examples used for expectation maximization of gaussian mixture models via cuda.
This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supporting
CUDA.

The following Matlab project contains the source code and Matlab examples used for 2d and 3d symmetric registration using cuda.
This package contains tools for CUDA-accelerated non-rigid registration.