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HPC workflow
The Pilot 2 HPC workflow is a special mode where the application works without a remote connection to PanDA server or other remote facilities. All intercommunications in this case are managed by the Harvester application. Also, in this mode Pilot 2 acts like a simple MPI application, which performs execution of multiple jobs on the computing nodes of the HPC.
To launch the HPC workflow in Pilot 2 the command line parameter '-w generic_hpc' (Pilot option) should be specified.
Different HPCs may require special treatments for the preparation of launching the payload. To cover this, implementations were placed in HPC specific plugins. The particular plugin should be specified using the command line parameter: '--hpc-resource' followed by the resource name.
Get job
get_job(communication_point)
Retrieve job description and fill Job object (usually from a json file).
Set working directory for job
set_job_workdir(job, communication_point)
Set job/pilot working directory.
Get setup
get_setup()
Return the list of setup commands, which may be required by the infrastructure.
Set working directory for scratch space
set_scratch_workdir()
Setup the working directory on the transient high-speed storage (RAM disk, local SSD etc).
Payload command fix
command_fix()
Adapt some payload parameters for execution on the particular infrastructure.
Job report processing
process_jobreport()
Shrink the job report file and copy to the working directory from scratch if needed.
Post processing of working directory
postprocess_workdir()
Some post processing of the working directory (if needed).