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GPU Julia Set Explorer.prj
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GPU Julia Set Explorer.prj
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<deployment-project plugin="plugin.apptool" plugin-version="1.0">
<configuration build-checksum="3908040292" file="/mathworks/home/btordoff/matlab/FileExchangeSubmissions/GPUJulia/GPUJulia/GPU Julia Set Explorer.prj" location="/mathworks/home/btordoff/matlab/FileExchangeSubmissions/GPUJulia/GPUJulia" name="GPU Julia Set Explorer" target="target.mlapps" target-name="Package App">
<param.appname>GPU Julia Set Explorer</param.appname>
<param.authnamewatermark>Ben Tordoff</param.authnamewatermark>
<param.email />
<param.company />
<param.icon>${PROJECT_ROOT}/GPU Julia Set Explorer_resources/icon_24.png</param.icon>
<param.icons>
<file>${PROJECT_ROOT}/GPU Julia Set Explorer_resources/icon_48.png</file>
<file>${PROJECT_ROOT}/GPU Julia Set Explorer_resources/icon_24.png</file>
<file>${PROJECT_ROOT}/GPU Julia Set Explorer_resources/icon_16.png</file>
</param.icons>
<param.summary>Explore the Julia Set of the Mandelbrot Set using MATLAB and a capable GPU.</param.summary>
<param.description>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": http://www.mathworks.com/matlabcentral/fileexchange/30988
NB: Requires MATLAB R2012a or above with Parallel Computing Toolbox and a GPU with CUDA Compute Capability 1.3 or above.</param.description>
<param.screenshot>/mathworks/home/btordoff/matlab/FileExchangeSubmissions/GPUJulia/GPUJulia.png</param.screenshot>
<param.version>1.3</param.version>
<param.products.name>
<item>MATLAB</item>
<item>Parallel Computing Toolbox</item>
</param.products.name>
<param.products.id>
<item>-1</item>
<item>-1</item>
</param.products.id>
<param.products.version>
<item>-1</item>
<item>-1</item>
</param.products.version>
<param.platforms />
<param.output>${PROJECT_ROOT}</param.output>
<param.guid>e79c35a3-625e-48b8-a856-c7e0f0f3ccd0</param.guid>
<unset>
<param.email />
<param.company />
<param.platforms />
<param.output />
</unset>
<fileset.main>
<file>${PROJECT_ROOT}/juliaSetExplorer.m</file>
</fileset.main>
<fileset.depfun />
<fileset.resources>
<file>${PROJECT_ROOT}/README.txt</file>
<file>${PROJECT_ROOT}/icon_mandel.png</file>
<file>${PROJECT_ROOT}/icon_play.png</file>
<file>${PROJECT_ROOT}/license.txt</file>
</fileset.resources>
<fileset.package />
<build-deliverables>
<file location="/mathworks/home/btordoff/matlab/FileExchangeSubmissions/GPUJulia" name="GPUJulia" optional="false">/mathworks/home/btordoff/matlab/FileExchangeSubmissions/GPUJulia/GPUJulia</file>
</build-deliverables>
<workflow />
<matlab>
<root>/mathworks/UK/devel/archive/R2019a/perfect/matlab</root>
<toolboxes>
<toolbox name="matlabcoder" />
<toolbox name="embeddedcoder" />
<toolbox name="gpucoder" />
<toolbox name="fixedpoint" />
<toolbox name="matlabhdlcoder" />
<toolbox name="neuralnetwork" />
</toolboxes>
<toolbox>
<matlabcoder>
<enabled>true</enabled>
</matlabcoder>
</toolbox>
<toolbox>
<embeddedcoder>
<enabled>true</enabled>
</embeddedcoder>
</toolbox>
<toolbox>
<gpucoder>
<enabled>true</enabled>
</gpucoder>
</toolbox>
<toolbox>
<fixedpoint>
<enabled>true</enabled>
</fixedpoint>
</toolbox>
<toolbox>
<matlabhdlcoder>
<enabled>true</enabled>
</matlabhdlcoder>
</toolbox>
<toolbox>
<neuralnetwork>
<enabled>true</enabled>
</neuralnetwork>
</toolbox>
</matlab>
<platform>
<unix>true</unix>
<mac>false</mac>
<windows>false</windows>
<win2k>false</win2k>
<winxp>false</winxp>
<vista>false</vista>
<linux>true</linux>
<solaris>false</solaris>
<osver>4.9.0-8-amd64</osver>
<os32>false</os32>
<os64>true</os64>
<arch>glnxa64</arch>
<matlab>true</matlab>
</platform>
</configuration>
</deployment-project>