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GPU Julia Set Explorer

4.0 | 1 rating Rate this file 21 Downloads (last 30 days) File Size: 83.6 KB File ID: #33201 Version: 1.3
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GPU Julia Set Explorer


Ben Tordoff (view profile)


10 Oct 2011 (Updated )

Explore the Julia Set of the Mandelbrot Set using MATLAB and a capable GPU.

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This application allows you to explore the Julia Set of the Mandelbrot Set in MATLAB with the help of a capable GPU. It is primarily intended as a demonstration of element-wise calculations using MATLAB and a GPU, however it also has some fun features:
* Use the normal MATLAB zoom and pan to browse the Julia Set
* Drag or click to select the location in the Mandelbrot Set for which the Julia Set is rendered
* Sit back and watch the app move around the Mandelbrot Set on a pre-stored path (zoom and pan still work)

See also the "GPU Mandelbrot Set":

NB: Requires MATLAB R2012a or above with Parallel Computing Toolbox and a GPU with CUDA Compute Capability 1.3 or above.

Required Products Parallel Computing Toolbox
MATLAB release MATLAB 7.14 (R2012a)
MATLAB Search Path
Other requirements GPU with CUDA Compute Capability 1.3 or above.
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Comments and Ratings (1)
25 Jan 2014 Andrew

Andrew (view profile)

Nice graphics. I've been a round a while and had never heard of a ".mlappinstall" file. There was no README so I just tried double clicking on the file. In OS X this just launched another copy of my Matlab R2013a but didn't appear to "install" anything. I renamed the file to ".zip" and was able to open it and see the file that the File Exchange had claimed were in this submission plus others. I also Googled and found out that one need to run matlab.apputil.install on the ".mlappinstall" file. This should be in a README and in your description above. But I don't really think that such an "installer" (seems like a poor excuse for one if you can't double click on the file) is even necessary in your case.

20 Oct 2011 1.1

Add link to GPU Mandelbrot Set to description.

01 Nov 2012 1.2

Updated to include a MATLAB App for easy installation/removal.

15 Oct 2014 1.3

Fix compatibility with R2014b

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