Doc: install gricad_miniforge

doc/examples/clusters/gricad_miniforge/README.md

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+# Install fluidsim with Miniforge on Dahu
+
+We show in this directory
+(<https://foss.heptapod.net/fluiddyn/fluidsim/-/tree/branch/default/doc/examples/clusters/gricad_miniforge>)
+how to use Fluidsim with Miniforge on Gricad clusters. The main documentation
+for this HPC platform is [here](https://gricad-doc.univ-grenoble-alpes.fr/hpc/).
+
+## Install Miniforge
+
+```sh
+wget "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
+bash Miniforge3-$(uname)-$(uname -m).sh -b
+$HOME/miniforge3/bin/conda init
+. .bashrc
+conda config --set auto_activate_base false
+```
+
+## Install Fluidsim in a conda env
+
+```sh
+conda env create --file https://foss.heptapod.net/fluiddyn/fluidsim/-/raw/branch/default/doc/examples/clusters/gricad_miniforge/env-fluidsim-mpi.yml
+```
+
+## Submit jobs
+
+```sh
+./submit_bench_fluidfft.py
+./submit_bench_fluidsim.py
+```
+
+For the devel script `submit_devel_bench_fluidsim.py`, one needs to be connected
+to a devel login node (`ssh dahu-oar3`).
+
+```sh
+./submit_devel_bench_fluidsim.py
+```

doc/examples/clusters/gricad_miniforge/env-fluidsim-mpi.yml

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+name: env-fluidsim-mpi
+dependencies:
+  - fluidsim
+  - openmpi
+  - h5py=*=mpi*
+  - fluidfft-fftw
+  - fluidfft-fftwmpi
+  - fluidfft-mpi_with_fftw
+  - ipython
+  - matplotlib

doc/examples/clusters/gricad_miniforge/gricad_simple.py

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+from pathlib import Path
+
+from fluiddyn.clusters.oar import ClusterOAR
+
+
+path_miniforge = Path.home() / "miniforge3"
+
+
+class Dahu(ClusterOAR):
+    name_cluster = "dahu"
+    has_to_add_name_cluster = False
+    frontends = ["dahu", "dahu-oar3"]
+    use_oar_envsh = False
+
+    commands_setting_env = [
+        "source /etc/profile",
+        f"source {path_miniforge / 'etc/profile.d/conda.sh'}",
+        "conda activate env-fluidsim-mpi",
+    ]
+
+
+class DahuDevel(Dahu):
+    devel = True
+    frontends = ["dahu-oar3"]
+
+
+class Dahu16_6130(Dahu):
+    nb_cores_per_node = 16
+    resource_conditions = "cpumodel='Gold 6130' and n_cores=16"
+
+
+class Dahu32_6130(Dahu):
+    nb_cores_per_node = 32
+    resource_conditions = "cpumodel='Gold 6130' and n_cores=32"
+
+
+class Dahu24_6126(Dahu):
+    nb_cores_per_node = 24
+    resource_conditions = "cpumodel='Gold 6126' and n_cores=24"
+
+
+class Dahu32_5218(Dahu):
+    nb_cores_per_node = 32
+    resource_conditions = "cpumodel='Gold 5218' and n_cores=32"
+
+
+class Dahu16_6244(Dahu):
+    nb_cores_per_node = 16
+    resource_conditions = "cpumodel='Gold 6244' and n_cores=16"

doc/examples/clusters/gricad_miniforge/submit_bench_fluidfft.py

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+#!/usr/bin/env python3
+from gricad_simple import Dahu32_6130 as Cluster
+
+cluster = Cluster()
+
+for nb_nodes in [1]:
+    cluster.submit_command(
+        command="fluidfft-bench 1024 -d 3",
+        name_run=f"bench_fluidfft_{nb_nodes}nodes",
+        nb_nodes=nb_nodes,
+        nb_mpi_processes="auto",
+        walltime="01:00:00",
+        project="pr-strat-turb",
+    )

doc/examples/clusters/gricad_miniforge/submit_bench_fluidsim.py

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+#!/usr/bin/env python3
+from gricad_simple import Dahu32_6130 as Cluster
+
+cluster = Cluster()
+
+cluster.submit_command(
+    command="fluidsim-bench 1024 -d 3 -s ns3d -o .",
+    name_run="bench_fluidsim",
+    nb_nodes=1,
+    nb_mpi_processes="auto",
+    walltime="00:30:00",
+    project="pr-strat-turb",
+)

doc/examples/clusters/gricad_miniforge/submit_devel_bench_fluidsim.py

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+#!/usr/bin/env python3
+from gricad_simple import DahuDevel as Cluster
+
+cluster = Cluster()
+
+cluster.submit_command(
+    command="fluidsim-bench 256 -d 3 -s ns3d -o .",
+    name_run="bench_fluidsim",
+    nb_nodes=1,
+    nb_mpi_processes=2,
+    walltime="00:30:00",
+    project="pr-strat-turb",
+)