seisflows.system.chinook
Chinook is the University of Alaska Fairbanks (UAF) high performance computer, operated by the Geophysical Institute’s Research Computing Systems (RCS). Chinook operates on a SLURM workload manager and therefore overloads the SLURM System module. Chinook-specific parameters and functions are defined here.
Information on Chinook can be found here: https://uaf-rcs.gitbook.io/uaf-rcs-hpc-docs/hpc
Module Contents
Classes
System Chinook |
- class seisflows.system.chinook.Chinook(mpiexec='mpiexec', partition='t1small', submit_to=None, **kwargs)
Bases:
seisflows.system.slurm.SlurmSystem Chinook
University of Alaska Fairbanks HPC Chinook, SLURM based system
Parameters
- type partition
str
- param partition
Chinook has various partitions which each have their own number of cores per compute node. Available are: analysis, t1small, t2small, t1standard, t2standard, gpu
- type submit_to
str
- param submit_to
(Optional) partition to submit the main/master job which is a serial Python task that controls the workflow. Likely this should go on ‘debug’ for small jobs or ‘t1small’ for mid-to-large jobs. If not given, defaults to partition.
Paths
- property submit_call_header
The submit call defines the SBATCH header which is used to submit a workflow task list to the system. It is usually dictated by the system’s required parameters, such as account names and partitions. Submit calls are modified and called by the submit function.
Note
Force the partition to run on ‘Debug’ since we are only running a single core job. This may run into walltime problems but for now it seems more economincal to enforce this
- Return type
str
- Returns
the system-dependent portion of a submit call
- property run_call_header
The run call defines the SBATCH header which is used to run tasks during an executing workflow. Like the submit call its arguments are dictated by the given system. Run calls are modified and called by the run function
- Return type
str
- Returns
the system-dependent portion of a run call
- __doc__