Dear all, thanks a lot. So basically the idea is that MPI is more useful when a lot of communication occurs in the calibrator. On the other hand, the jobs scheduler is more appropriate when there are no or few communications.
Is my final statement correct? Thanks a lot Diego On Thu, 30 Aug 2018 at 14:55, Patrick Begou < patrick.be...@legi.grenoble-inp.fr> wrote: > Diego, > > what you wont to do is parametric studies. There are specific software > available to do this efficiently (ie reducing the number of runs). Software > can then rely in a job scheduler (PBS, SLURM...) which can launch many > parallel mpi applications at the same time depending on the results of > previous runs. > Look at : > - Dakota https://dakota.sandia.gov/ (open source) > - Modefrontier https://www.esteco.com/modefrontier (commercial) > > Patrick > > Diego Avesani wrote: > > Dear all, > > thank you for your answers. I will try to explain better my situation. > I have written a code and I have parallelized it with openMPI. In > particular I have a two level palatalization. The first takes care of a > parallel code program and the second run the parallel code with different > input in order to get the best solution. In the second level the different > runs and output have to communicate in order to define the best solution > and to modify accordingly the input data. These communications have to take > place different times in the all simulation. > > I have read some papers where some people do that with PBS or Microsoft > job scheduling. > I opted for openMPI. > > What do you think? Can you give me reasons supporting my decision? > > Thanks > > Diego > > > > On Sun, 26 Aug 2018 at 00:53, John Hearns via users < > users@lists.open-mpi.org> wrote: > >> Diego, >> I am sorry but you have different things here. PBS is a resource >> allocation system. It will reserve the use of a compute server, or several >> compute servers, for you to run your parallel job on. PBS can launch the >> MPI job - there are several mechanisms for launching parallel jobs. >> MPI is an API for parallel programming. I would rather say a library, but >> if I'm not wrong MPI is a standard for parallel programming and is >> technically an API. >> >> One piece of advice I would have is that you can run MPI programs from >> the command line. So Google for 'Hello World MPI'. Write your first MPI >> program then use mpirun from the command line. >> >> If you have a cluster which has the PBS batch system you can then use PBS >> to run your MPI program. >> IF that is not clear please let us know what help you need. >> >> >> >> >> >> >> >> >> >> >> >> On Sat, 25 Aug 2018 at 06:54, Diego Avesani <diego.aves...@gmail.com> >> wrote: >> >>> Dear all, >>> >>> I have a philosophical question. >>> >>> I am reading a lot of papers where people use Portable Batch System or >>> job scheduler in order to parallelize their code. >>> >>> What are the advantages in using MPI instead? >>> >>> I am writing a report on my code, where of course I use openMPI. So tell >>> me please how can I cite you. You deserve all the credits. >>> >>> Thanks a lot, >>> Thanks again, >>> >>> >>> Diego >>> >>> _______________________________________________ >>> users mailing list >>> users@lists.open-mpi.org >>> https://lists.open-mpi.org/mailman/listinfo/users >> >> _______________________________________________ >> users mailing list >> users@lists.open-mpi.org >> https://lists.open-mpi.org/mailman/listinfo/users > > > > _______________________________________________ > users mailing > listus...@lists.open-mpi.orghttps://lists.open-mpi.org/mailman/listinfo/users > > > > -- > =================================================================== > | Equipe M.O.S.T. | | > | Patrick BEGOU | mailto:patrick.be...@grenoble-inp.fr > <patrick.be...@grenoble-inp.fr> | > | LEGI | | > | BP 53 X | Tel 04 76 82 51 35 | > | 38041 GRENOBLE CEDEX | Fax 04 76 82 52 71 | > =================================================================== > >
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