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install examples (proxies + noise) with supporting files (#70)
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# Cloverleaf 3D with Ascent Integration | ||
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Sample Run: | ||
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mpiexec -n 2 ./cloverleaf3d_par | ||
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For more info, please visit: | ||
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http://ascent.readthedocs.io/en/latest/ExampleIntegrations.html |
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{ | ||
"pipeline/type" : "vtkm", | ||
"pipeline/backend" : "serial" | ||
"web" : {"stream" : "false"} | ||
} |
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# Kripke with Ascent Integration | ||
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Sample Run: | ||
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mpiexec -n 1 ./kripke_par --procs 1,1,1 --zones 32,32,32 --niter 3 --dir 1:2 --grp 1:1 --legendre 4 --quad 4:4 | ||
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For more info, please visit: | ||
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http://ascent.readthedocs.io/en/latest/ExampleIntegrations.html |
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{ | ||
"pipeline/type" : "vtkm", | ||
"pipeline/backend" : "serial" | ||
"web" : {"stream" : "false"} | ||
} |
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# Lulesh with Ascent Integration | ||
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Sample Run: | ||
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mpiexec -n 8 ./lulesh_par -i 10 -s 32 | ||
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For more info, please visit: | ||
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http://ascent.readthedocs.io/en/latest/ExampleIntegrations.html |
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{ | ||
"scenes": | ||
{ | ||
"s2": | ||
"s1": | ||
{ | ||
"plots": | ||
{ | ||
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@@ -1,4 +1,3 @@ | ||
{ | ||
"pipeline/type" : "vtkm", | ||
"pipeline/backend" : "serial" | ||
"web" : {"stream" : "false"} | ||
} |
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16 changes: 14 additions & 2 deletions
16
src/examples/synthetic/noise/README.md → ...examples/synthetic/noise/ASCENT_README.md
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# Noise.cpp | ||
# Ascent Noise Example | ||
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The noise application generates a synthetic data set based open simplex noise which is a public domain n-dimensional smooth noise function. This is similar to Ken Perlin's simplex noise, but this algorithm does not come with any of the accociated patent issues. The code included here is a *c* port of the java implementation and can be found on [github](https://github.com/smcameron/open-simplex-noise-in-c). The java version can be found [here](https://gist.github.com/KdotJPG/b1270127455a94ac5d19). | ||
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The noise application comes with a serial and distributed memory parallel version that will automatically distribute a uniform data set across ranks. | ||
The noise application comes with a serial (noise_ser) and distributed memory parallel version (noise_par) that will automatically distribute a uniform data set across ranks. | ||
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# Options | ||
- `--time_steps=10` The number of time steps to generate | ||
- `--time_delta=0.5` The amount of time to advance per time step. | ||
- `--dims=x,y,z` The total number of cells in the data set | ||
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Sample Runs: | ||
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./noise_ser | ||
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mpiexec -n 2 ./noise_par | ||
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For more info, please visit: | ||
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http://ascent.readthedocs.io/en/latest/ExampleIntegrations.html |
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