CoriKnl#
- class lsst.ctrl.bps.parsl.sites.nersc.CoriKnl(*args, **kwargs)#
Bases:
TripleSlurmConfiguration for running jobs on the NERSC Cori-KNL cluster.
Notes#
The following BPS configuration parameters are recognised, overriding the defaults:
nodes(int): number of nodes for each Slurm job.cores_per_node(int): number of cores per node for each Slurm job; by default we use all cores on the node.walltime(str): time limit for each Slurm job; setting this would override each of thesmall_walltime,medium_walltimeandlarge_walltimevalues.mem_per_node(float): memory per node for each Slurm job; by default we use whatever Slurm gives us.qos(str): quality of service to request for each Slurm job; by default we use whatever Slurm gives us.small_memory(float): memory per worker for each ‘small’ Slurm job.medium_memory(float): memory per worker for each ‘small’ Slurm job.large_memory(float): memory per worker for each ‘large’ Slurm job.small_walltime(str): time limit for each ‘small’ Slurm job.medium_walltime(str): time limit for each ‘small’ Slurm job.large_walltime(str): time limit for each ‘large’ Slurm job.
Methods Summary
get_executors([small_options, ...])Get a list of executors to be used in processing.
Methods Documentation
- get_executors(small_options: dict[str, Any] | None = None, medium_options: dict[str, Any] | None = None, large_options: dict[str, Any] | None = None, **common_options) list[ParslExecutor]#
Get a list of executors to be used in processing.
We create three executors, with different walltime and memory per worker.
Parameters#
- small_options
dict Options for
make_executorfor small executor.- medium_options
dict Options for
make_executorfor medium executor.- large_options
dict Options for
make_executorfor large executor.- **common_optionsAny
Common options for
make_executorfor each of the executors.
- small_options