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
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