*****
UPDATE: v0.15
- various bug fixes
- support for CPU/GPGPU devices
- additional device information provided in routine to fetch device information
- documented source code
- added destroy_buffer command to free sources
******
This is the first release of the OpenCL Toolbox for MATLAB. It is a simple interface that encapsulates clBuffer and clKernel as MATLAB class objects. It allows one to easily create device buffers, set device memory, compile and call kernel functions, etc.

A future release will override Matlab primitives (plus, minus, times, rdivide, etc.) so that knowledge of OpenCL coding will not be required.

This current release simplifies integration of OpenCL (.cl) files with MATLAB.

For example, to call a kernel in an OpenCL file is done as follows:

ocl = opencl();
ocl.initialize(1,1);
ocl.addfile('simple_add.cl');
ocl.build();

global_workgroup_size = [128,0,0];
local_workgroup_size = [128,0,0];
addkernel = clkernel('add', global_workgroup_size, local_workgroup_size);

x = clobject(single(1:10));
y = clobject(single(11:20));
z = clobject(zeros(1,10, 'single'));

addkernel(x,y,z, uint32(10));

values = z.get();
disp(values);

Project homepage:
http://code.google.com/p/opencl-toolbox/