Centre de Calcul Recherche et Technologie (skylake) (TGCC-CCRT / std)


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’>

pythonuserbase: (optional):

path to user’s python userbase

accepted type: <class ‘str’>

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’>

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’>

max_procs_node: (optional): 48

maximum number of cores available per node on the partition

accepted type: <class ‘int’>

resource: (optional): std

indicate how the job resource is allocated: std - submit default or yml values, auto - automatic submission for CHIMERE with ncores=nzdoms*nmdoms+1, only_cores - submit cores only

accepted values: [‘std’, ‘auto’, ‘only_cores’]


The current plugin requires the present plugins to run properly:

Requirement name

Requirement type

Explicit definition

Any valid

Default name

Default version







Yaml template

Please find below a template for a Yaml configuration:

 2  plugin:
 3    name: TGCC-CCRT
 4    version: std
 5    type: platform
 8  # Optional arguments
 9  python: XXXXX
10  pythonuserbase: XXXXX
11  partition: XXXXX
12  project: XXXXX
13  nodes: XXXXX
14  cores: XXXXX
15  max_procs_node: XXXXX
16  resource: XXXXX