What is Autosubmit ?¶
Autosubmit is a python-based tool to create, manage and monitor experiments by using Computing Clusters, HPC’s and Supercomputers remotely via ssh. It has support for experiments running in more than one HPC and for different workflow configurations.
Autosubmit is currently used at Barcelona Supercomputing Centre (BSC) to run EC-Earth, NEMO and NMMB air quality model.
Autosubmit has been used to manage models running at supercomputers in IC3, BSC, ECMWF, EPCC, PDC and OLCF.
Autosubmit is now available via PyPi package under the terms of GNU General Public License.
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Why is Autosubmit needed ?¶
Autosubmit is the only existing tool that satisfies the following requirements from the weather and climate community:
- Automatisation: Job submission to machines and dependencies between jobs are managed by Autosubmit. No user intervention is needed.
- Data provenance: Assigns unique identifiers for each experiment and stores information about model version, experiment configuration and computing facilities used in the whole process.
- Failure tolerance: Automatic retrials and ability to rerun chunks in case of corrupted or missing data.
- Resource management: Autosubmit manages supercomputer particularities, allowing users to run their experiments in the available machine without having to adapt the code. Autosubmit also allows to submit tasks from the same experiment to different platforms.
How does Autosubmit work ?¶
You can find help about how to use autosubmit and a list of available commands, just executing:
Execute autosubmit <command> -h for detailed help for each command:
autosubmit expid -h
To create a new experiment, run the command:
autosubmit expid -H HPCname -d Description
HPCname is the name of the main HPC platform for the experiment: it will be the default platform for the tasks. Description is a brief experiment description.
This command assigns a unique four character identifier (
xxxx, names starting from a letter, the other three characters) to the experiment and creates a new folder in experiments repository with structure shown in Figure 1.
To configure the experiment, edit
platforms_xxxx.conf in the
conf folder of the experiment (see contents in Figure 2).
After that, you are expected to run the command:
autosubmit create xxxx
This command creates the experiment project in the
proj folder. The experiment project contains the scripts specified in
jobs_xxxx.conf and a copy of model source code and data specified in
To run the experiment, just execute the command:
autosubmit run xxxx
Autosubmit will start submitting jobs to the relevant platforms (both HPC and supporting computers) by using the scripts specified in
jobs_xxxx.conf. Autosubmit will substitute variables present on scripts where handlers appear in %variable_name% format. Autosubmit provides variables for current chunk, start date, member, computer configuration and more, and also will replace variables form
To monitor the status of the experiment, the command:
autosubmit monitor xxxx
is available. This will plot the workflow of the experiment and the current status.