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wrap = 89 | ||
number = true | ||
end_of_line = "lf" |
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tutorials | ||
examples | ||
build-from-source | ||
install-clusters | ||
faq | ||
``` | ||
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# Fluidsim on clusters | ||
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Computing clusters are sets of computers used for HPC. Installing on such machines in | ||
order to run very large simulations is particular since | ||
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- Performance is key. With very large simulations, differences of few percents in | ||
performance can lead to important differences of electricity consumption and CO₂ | ||
production. | ||
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With large simulations, a large proportion of elapsed time is spent in crushing numbers | ||
(concentrated in few functions) and MPI communications. For pseudo-spectral simulations | ||
based on Fourier transform, the FFT functions and few other numerical kernels have to | ||
be very efficient. This is achieved by using advanced FFT libraries and by compiling | ||
with special options like `-march=native` and `-Ofast`. | ||
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- Parallelism is done trough MPI with advanced hardware so it's important to use the | ||
right MPI implementation compiled with the right options. | ||
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- The software environment is usually quite different than on more standard smaller | ||
machines, with quite old operative systems and particular systems to use other software | ||
(modules, Guix, Spack, ...). | ||
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- Computations are launched through a schedulers (like Slurm, OAR, ...) with a launching | ||
script. In the Fluiddyn project, we tend to avoid writting manually the launching | ||
scripts (which is IMHO error prone and slow) and prefer to use the `fluiddyn.clusters` | ||
API, which allows users to launch simulations with simple Python scripts. | ||
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We present here few examples of installations on different kinds of clusters: | ||
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```{toctree} | ||
--- | ||
caption: Examples | ||
maxdepth: 1 | ||
--- | ||
./examples/clusters/gricad/README.md | ||
``` |