Hi,
your .machines is wrong. The nodes for lapw1 are prefaced not with "lapw1:" but only with "1:". lapw2 needs no line, as it takes the same nodes as lapw1 before. So an example for your usecase would be: # dstart:g008:4 g021:4 g025:4 g028:4 lapw0:g008:4 g021:4 g025:4 g028:4 1:g008:4 g021:4 g025:4 g028:4 granularity:1 extrafine:1 The line starting with "1:" has to be repeated (with different nodes, of course) x times, if you want to run x k-points in parallel (you can find more details about this in the usersguide, pages 84-91). Regards, Thomas PS: As a sidenote: Both dstart and lapw0 parallelize over atoms, so 16 nodes might not be the best choice for your example. ________________________________ Von: Wien <wien-boun...@zeus.theochem.tuwien.ac.at> im Auftrag von Christian Søndergaard Pedersen <chr...@dtu.dk> Gesendet: Montag, 12. Oktober 2020 09:06 An: wien@zeus.theochem.tuwien.ac.at Betreff: [Wien] .machines for several nodes Hello everybody I am new to WIEN2k, and am struggling with parallellizing calculations on our HPC cluster beyond what can be achieved using OMP. In particular, I want to execute run_lapw and/or runsp_lapw running on four identical nodes (16 cores each), parallellizing over k points (unless there's a more efficient scheme). To achieve this, I try to mimic the example from the User Guide (without the extra Alpha node), but my .machines-file does not work the way I intended. This is what I have: # dstart:g008:4 g021:4 g025:4 g028:4 lapw0:g008:4 g021:4 g025:4 g028:4 lapw1:g008:4 g021:4 g025:4 g028:4 lapw2:g008:4 g021:4 g025:4 g028:4 granularity:1 extrafine:1 The node names gxxx are read from SLURM_JOB_NODELIST in the submit script, and a couple of regular expressions generate the above lines. Afterwards, my job script does the following: srun hostname -s > slurm.hosts run_lapw -p which results in a job that idles for the entire walltime and finishes with a CPU efficiency of 0.00%. I would appreciate any help in figuring out where I've gone wrong. Best regards Christian
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