Centre de Calcul Recherche et Technologie (skylake) (TGCC-CCRT / std)¶
Description¶
This plugin deals with specific environment characteristics of the cluster at the Très Grand Centre de calcul (France), more specifically the Skylake partition of the Centre de Calcul Recherche et Technologie.
Yaml arguments¶
The following arguments are used to configure the plugin. pyCIF will return an exception at the initialization if mandatory arguments are not specified, or if any argument does not fit accepted values or type:
Optional arguments¶
python: (optional): python3 -m mpi4py -rc initialize=False
the python command used to run sub-instances of pyCIF
accepted type: <class ‘str’>
nodes: (optional): 1
number of nodes to use by the jobs launched by the CIF (analytic, EnKF modes)
accepted type: <class ‘int’>
cores: (optional): 1
number of cores to use by the jobs launched by the CIF (analytic, EnKF modes)
accepted type: <class ‘int’>
partition: (optional): skylake
partition on which to submit job
accepted values: [‘skylake’, ‘rome’]
project: (optional): gen2201
project on which to submit job
accepted type: <class ‘str’>
pythonuserbase: (optional):
path to user’s python userbase
accepted type: <class ‘str’>
max_procs_node: (optional): 48
maximum number of cores available per node on the partition
accepted type: <class ‘int’>
Requirements¶
The current plugin requires the present plugins to run properly:
Requirement name |
Requirement type |
Explicit definition |
Any valid |
Default name |
Default version |
|---|---|---|---|---|---|
model |
True |
True |
None |
None |
Yaml template¶
Please find below a template for a Yaml configuration:
1platform:
2 plugin:
3 name: TGCC-CCRT
4 version: std
5 type: platform
6
7
8 # Optional arguments
9 python: XXXXX
10 nodes: XXXXX
11 cores: XXXXX
12 partition: XXXXX
13 project: XXXXX
14 pythonuserbase: XXXXX
15 max_procs_node: XXXXX
