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  1. Get an account on the cluster - and consult DMSC computing cluster for how to access it!

  2. Please ensure that your simulation runs on your own desktop / laptop first - and estimate a required runtime to achieve your necessary statistics!

  3. When transferring input data to the cluster - please ensure that all necessary files are present, i.e. your
    1. instrument file
    2. any extra needed components
    3. any extra c-codes
    4. any extra datafiles
  4. Load the mpi module of choice,  one of the openmpi ones are recommended:

    [willend@r1n2 ~]$ module load openmpi<tab>

    openmpi-x86_64            openmpi/3.0_gcc540        openmpi/default           

    openmpi/1.4-gcc           openmpi/3.0_gcc540_short  openmpi/intel.qlc

    [willend@r1n2 ~]$ module load openmpi/3.0_gcc540

  5. Load the mcstas of choice using e.g. the below command (which will give you the newest installed mcstas)
    [willend@r1n2 ~]$ module load mcstas/
  6. Compile your instrument at the compile node using a command like

    willend@r1n2 selftest_Abe3]$ mcrun -c --mpi -n0 BNL_H8.instr 

    You may experience some error output like below, but this can be safely ignored when compiling, since mpi processes are only allowed to run via the slurm scheduler.

    Error obtaining unique transport key from ORTE (orte_precondition_transports not present in
    the environment).
    Local host:
    *** The MPI_Init() function was called before MPI_INIT was invoked.
    *** This is disallowed by the MPI standard.
    It looks like MPI_INIT failed for some reason; your parallel process is
    likely to abort. There are many reasons that a parallel process can
    fail during MPI_INIT; some of which are due to configuration or environment
    problems. This failure appears to be an internal failure; here's some
    additional information (which may only be relevant to an Open MPI
    PML add procs failed
    --> Returned "Error" (-1) instead of "Success" (0)
    *** Your MPI job will now abort.
    [] Abort before MPI_INIT completed successfully; not able to guarantee that all other processes were killed!

  7. On the ESS cluster, and optionally also on your own laptop, you can use the mcsub_slurm script to help you generate a batch file for the cluster.  It takes a few input arguments:
    [willend@r1n2 ~]$ mcsub_slurm --help
    Usage: mcsub_slurm [options] [mcrun params]
    -h --help Show this help
    -rN --runtime=N Specify maximum runtime (hours) [default 1]
    -qQNAME --queue=QNAME Specify wanted SLURM queue [default 'express']
    -e<mail> --email=<mail> Specify address to notify in reg. sim status [default none]
    --nodes=NUM Specify wanted number of nodes [default 1]
    --name=NAME Specify openPBS job name [default "McSub_<USERNAME>_<TIMESTAMP>"

    Usage: /mnt/lustre/apps/mcstas/2.4.1/bin/mcsub_slurm [options] [mcrun params]
    -h --help Show this help
    -rN --runtime=N Specify maximum runtime (hours) [default 1]
    -qQNAME --queue=QNAME Specify wanted SLURM queue [default 'express']
    --mpimodule=MODULE Specify wanted MPI module [default 'openmpi/3.0_gcc540']
    -e<mail> --email=<mail> Specify address to notify in reg. sim status [default none]
    --nodes=NUM Specify wanted number of nodes [default 1]
    --name=NAME Specify slurm job name [default "McSub_<USERNAME>_<TIMESTAMP>"]


    After running mcsub_slurm NAME.batch is ready for submission using the sbatch command

    (On McStas installations v. 2.4.1 and newer, the template batchfile writing is also available via File → Configuration in mcgui)

  8. To generate a batch file repeating a simulation that worked on your Desktop, use the script "in front" of the mcrun command run at your Desktop, e.g.:

    [willend@r1n2 ~]$ mcsub_slurm mcrun BNL_H8.instr -n1e9 Lambda=2.37

  9. Please use step 7 with -qexpress to make you batch file for a test run on the express queue to see that everything works!

  10. Having seen the output from 8, you should be able to request a production queue and a longer runtime using the -q and -r options of the script. (Or simply edit the script output to your taste and need!)
  11. It is useful to receive output from the cluster jobs on start/termination etc. - please use the -e option for setting a relevant recipient address.

In case of issues with any of the above steps - feel free to contact and 

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