If that is what you are trying to do, mpirun will do it just fine too - it doesn't have to be an MPI program.
On Oct 19, 2011, at 3:37 PM, Gus Correa wrote: > Jorge > > Besides what Reuti and Eugene said, in case what you're looking for > is a mechanism to launch several copies of a > serial [non-parallel] program in a cluster, > you could try these alternatives: > > 1) Launch several jobs to run the same program, > using a job scheduler like Torque or Grid Engine. > > http://www.adaptivecomputing.com/resources/docs/torque/ > http://www.adaptivecomputing.com/resources/downloads.php > [Torque may be available through your Linux package manager: yum, > apt-get, etc.] > > http://gridscheduler.sourceforge.net/ > > > 2) Use a distributed/parallel shell like pdsh, tentakel, etc, > to launch many copies of the serial program: > > http://sourceforge.net/projects/pdsh/ > https://computing.llnl.gov/linux/pdsh.html > http://freshmeat.net/projects/tentakel/ > > Some of these items may be already installed in your cluster. > > My two cents. > Gus Correa > > Reuti wrote: >> Hi, >> Am 19.10.2011 um 17:57 schrieb Jorge Jaramillo: >>> Hello everyone, I have a doubt about how to execute a parallel application >>> on a cluster. I used the 'mpirun' to execute some applications and they >>> worked, but I guess this command only is useful with MPI applications. >> correct. >>> My question is, How do I execute a program that has no MPI statements on >>> the cluster? >> "In the cluster" could also mean "How to submit a job to a cluster, which >> would then in turn runs local on a granted machine". But I think you mean >> this in the context, that you have just a bunch of machines with just MPI >> installed. >>> If it is not possible, how do I change the structure of the program so it >>> can be executed as a parallel application? >> This depends on the application: sometimes you could just parallelize some >> loops, in some cases you have to change the used algorithm to replace it >> with one which can easily be parallelized, maybe the data structure needs to >> be changed and you have to think about how to distribute data to the >> nodes,... >> It might also be, that using Open MP (which works only on one and the same >> machine) will give you a parallel version faster. http://openmp.org/wp/ >> Nowadays many compilers support it. Nevertheless you have to touch your >> application by hand and modify the source. >> -- Reuti >> _______________________________________________ >> users mailing list >> us...@open-mpi.org >> http://www.open-mpi.org/mailman/listinfo.cgi/users > > _______________________________________________ > users mailing list > us...@open-mpi.org > http://www.open-mpi.org/mailman/listinfo.cgi/users
