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Updating Docs for commit 58018f4 made on 2023-10-06T07:32:22+00:00 fr…
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…om refs/heads/main by hmcezar
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hmcezar committed Oct 6, 2023
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14 changes: 14 additions & 0 deletions README.md
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<a href="https://cascella-group-uio.github.io/HyMD/">
<img src="https://github.com/Cascella-Group-UiO/HyMD/blob/main/docs/img/hymd_logo_text_black.png?raw=true" width="500" title="HylleraasMD">
</a>

### GitHub Pages Cache

Nothing to see here. The contents of this branch are essentially a cache that's not intended to be viewed on github.com.


If you're looking to update our documentation, check [the HylleraasMD documentation](https://cascella-group-uio.github.io/HyMD/index.html).

For more information on how this documentation is built using Sphinx, Read the Docs, and GitHub Actions/Pages, see:

* https://tech.michaelaltfield.net/2020/07/18/sphinx-rtd-github-pages-1
9 changes: 9 additions & 0 deletions index.html
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<!DOCTYPE html>
<html>
<head>
<title>Redirecting to main branch</title>
<meta charset="utf-8">
<meta http-equiv="refresh" content="0; url=./main/index.html">
<link rel="canonical" href="https://cascella-group-uio.github.io/HyMD/main/index.html">
</head>
</html>
4 changes: 4 additions & 0 deletions main/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: d1c53ca0a458bab63f3363f597dbef0e
tags: 645f666f9bcd5a90fca523b33c5a78b7
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33 changes: 33 additions & 0 deletions main/_downloads/65e54d27de07d1f3391023244e2c96b6/benchmarks-2.py
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import numpy as np
import matplotlib.pyplot as plt

mesh_2048_cpus = [2048, 1024, 512, 256, 128, 64, 32, 16, 8, 4 , ]
mesh_2048_time = [3.375108, 5.977880, 10.414429, 16.859782, 31.692761, 50.496983, 51.508302, 76.465812, 114.956267, 200.790592, ]

mesh_1024_cpus = [2048, 1024, 512, 256, 128, 64, 32, 16, 8, 4, 2, 1 , ]
mesh_1024_time = [0.439009, 0.662988, 1.172991, 2.024713, 3.625324, 7.148897, 7.330420, 9.117424, 13.209331, 22.204145, 41.150021, 71.836402, ]

mesh_512_cpus = [1024, 512, 256, 128, 64, 32, 16, 8, 4, 2, 1 , ]
mesh_512_time = [0.137271, 0.148182, 0.161536, 0.271535, 0.798458, 0.817093, 1.114978, 1.712410, 2.870377, 5.151649, 8.589524, ]

mesh_256_cpus = [256, 128, 64, 32, 16, 8, 4, 2, 1]
mesh_256_time = [0.033834, 0.037837, 0.053191, 0.070217, 0.115923, 0.200090, 0.336702, 0.665111, 1.127391]

mesh_128_cpus = [64, 32, 16, 8, 4, 2, 1, ]
mesh_128_time = [0.012815, 0.018430, 0.022436, 0.037648, 0.055399, 0.093687, 0.169120, ]

mesh_64_cpus = [64, 32, 16, 8, 4, 2, 1, ]
mesh_64_time = [0.012815, 0.018162, 0.018430, 0.037648, 0.037949, 0.055399, 0.093687, ]

plt.loglog(mesh_2048_cpus, mesh_2048_time, "r-x", label="2048³")
plt.loglog(mesh_1024_cpus, mesh_1024_time, "b-o", label="1024³")
plt.loglog(mesh_512_cpus, mesh_512_time, "k-^", label="512³")
plt.loglog(mesh_256_cpus, mesh_256_time, "c-v", label="256³")
plt.loglog(mesh_128_cpus, mesh_128_time, "y-8", label="128³")
plt.loglog(mesh_64_cpus, mesh_64_time, "g->", label="64³")
plt.xlabel("CPUs", fontsize=15)
plt.xscale('log', base=2)
plt.yscale('log', base=2)
plt.ylabel("Time per step, s", fontsize=15)
plt.legend(loc="upper left", fontsize=15)
plt.show()
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38 changes: 38 additions & 0 deletions main/_downloads/c2b4427af0abc490fea62e3654884461/benchmarks-1.py
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import numpy as np
import matplotlib.pyplot as plt
nodes_small = np.array([1, 2, 5, 8, 12, 15, 17, 18], dtype=np.float64)
time_small = np.array([
4.187099, 2.403876, 1.604452, 1.104753, 1.102880, 1.102931, 1.091972,
1.090594
], dtype=np.float64)
nodes_medium = np.array([
1, 3, 4, 7, 13, 14, 16, 25, 30, 31, 35, 40, 42, 46, 47, 50
], dtype=np.float64,)
time_medium = np.array([
11.201839, 5.281660, 3.693661, 2.317845, 1.566609, 1.425823, 1.437634,
0.962915, 0.955779, 0.958936, 0.966228, 0.973874, 0.974221, 0.976087,
0.982746, 0.950908,
], dtype=np.float64)
nodes_large = np.array([
1, 2, 3, 4, 5, 7, 12, 13, 16, 25, 26, 30, 37, 49, 55, 71, 80
], dtype=np.float64)
time_large = np.array([
20.77469, 12.257692, 9.430474, 6.560756, 5.340657, 3.760844, 3.655468,
2.623202, 2.315075, 1.668369, 1.497107, 1.533885, 1.414385, 1.417828,
1.404457, 1.411190, 1.435383,
], dtype=np.float64)
plt.plot(
nodes_small * 128, 1e6 * time_small / 10000.0, "r-o", label="224 k"
)
plt.plot(
nodes_medium * 128, 1e6 * time_medium / 10000.0, "b-x", label="533 k"
)
plt.plot(
nodes_large * 128, 1e6 * time_large / 10000.0, "k-^", label="1.04 M"
)
plt.xlabel("CPUs", fontsize=15)
plt.ylabel("Time per step, us", fontsize=15)
plt.legend(fontsize=15)
plt.xscale('log', base=2)
plt.yscale('log', base=2)
plt.show()
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