thank you very much Carlos for the info, regards Alfredo Enviado desde BlueMail
En 19 de diciembre de 2018 13:36, en 13:36, Carlos Fenoy <mini...@gmail.com> escribió: >Hi Alfredo, > >You can have a look at using https://github.com/eth-cscs/GREASY . It >was >developed before array-jobs were supported in slurm and it will do >exactly >what you want. > >Regards, >Carlos > >On Wed, Dec 19, 2018 at 3:33 PM Alfredo Quevedo ><maquevedo....@gmail.com> >wrote: > >> thank you Michael for the feedback, my scenario is the following: I >want >> to run a job array of (lets say) 30 jobs. So I setted the slurm input >as >> follows: >> >> #SBATCH --array=1-104%30 >> #SBATCH --ntasks=1 >> >> however only 4 jobs within the array are launched at a time due to >the >> allowed max number of jobs as setted in the slurm configuration (4). >As >> a workaround to the issued, the sysadmin suggested me to request the >> resources, and afterwards distribute the resources asigned into a >> multiple set of single CPU task. I believe that with the solution you >> mentioned only 30 (out of the 104) jobs will be finished? >> >> thanks >> >> Alfredo >> >> >> El 19/12/2018 a las 11:15, Renfro, Michael escribió: >> > Literal job arrays are built into Slurm: >> https://slurm.schedmd.com/job_array.html >> > >> > Alternatively, if you wanted to allocate a set of CPUs for a >parallel >> task, and then run a set of single-CPU tasks in the same job, >something >> like: >> > >> > #!/bin/bash >> > #SBATCH --ntasks=30 >> > srun --ntasks=${SLURM_NTASKS} hostname >> > >> > is one way of doing it. If that’s not what you’re looking for, some >> other details would be needed. >> > >> >> > >-- >-- >Carles Fenoy
