Andre, you should not need the OpenMPI sources. Install the openmpi-devel package from the same source (zypper install openmpi-devel if you have that science repository enabled) This will give you the mpi.h file and other include files, libraries and manual pages.
That is a convention in Suse-style distros - the devel package contains the stuf you need to 'develop' On 17/01/2012, Theiner, Andre <andre.thei...@hp.com> wrote: > Hi Devendra, > thanks for your interesting answer, up to now I expected to get a fully > operational openmpi installation package > by installing openmpi from the “science” repository ( > http://download.opensuse.org/repositories/science/openSUSE_11.3” ). > To compile your script I need to have the openmpi sources which I do not > have at present, I will try to get them. > How do I compile and build using multiple processors? > Is there a special flag which tells the compiler to care for multiple CPUs? > > Andre > > > From: users-boun...@open-mpi.org [mailto:users-boun...@open-mpi.org] On > Behalf Of devendra rai > Sent: Montag, 16. Januar 2012 13:25 > To: Open MPI Users > Subject: Re: [OMPI users] mpirun hangs when used on more than 2 CPUs > > Hello Andre, > > It may be possible that your openmpi does not support threaded MPI-calls (if > these are happening). I had a similar problem, and it was traced to this > cause. If you installed your openmpi from available repositories, chances > are that you do not have thread-support. > > Here's a small script that you can use to determine whether or not you have > thread support: > > #include <mpi.h> > #include <iostream> > int main(int argc, char **argv) > { > int myrank; > int desired_thread_support = MPI_THREAD_MULTIPLE; > int provided_thread_support; > > MPI_Init_thread(&argc, &argv, desired_thread_support, > &provided_thread_support); > > /* check if the thread support has been provided */ > if (provided_thread_support!=desired_thread_support) > { > std::cout << "MPI thread support not available! Aborted. " << > std::endl; > exit(-1); > } > MPI_Finalize(); > return 0; > } > > Compile and build as usual, using multiple processors. > > Maybe this helps. If you do discover that you do not have support available, > you will need to rebuild MPI with --enable-mpi-threads=yes flag. > > HTH. > > > Devendra > > ________________________________ > From: "Theiner, Andre" <andre.thei...@hp.com> > To: "us...@open-mpi.org" <us...@open-mpi.org> > Sent: Monday, 16 January 2012, 11:55 > Subject: [OMPI users] mpirun hangs when used on more than 2 CPUs > > > Hi everyone, > may I have your help on a strange problem? > High performance computing is new to me and I have not much idea about > OpenMPI and OpenFoam (OF) which uses the “mpirun” command. > I have to support the OF application in my company and have been trying to > find the problem since about 1 week. > The versions are openmpi-1.3.2 and OF 2.0.1 which are running on openSUSE > 11.3 x86_64. > The computer is brand new, has 96 GB RAM, 12 CPUs and was installed with > Linux some weeks ago. > I installed OF 2.0.1 according to the vendors instructions at > http://www.openfoam.org/archive/2.0.1/download/suse.php. > > Here the problem: > The experienced user tested the OF with a test case out of one of the > vendors tutorials. > He only used the computing power of his local machine “caelde04” , no other > computers were accessed by mpirun. > > He found no problem when testing in single “processor mode” but in > “multiprocessor mode” his calculations hangs when he distributes > the calculations to more than 2 CPUs. The OF vendor thinks this is an > OpenMPI problem somehow and that is why I am trying to get > help from this forum here. > I attached 2 files, one is the “decomposeParDict” which resides in the > “system” subdirectory of his test case and the other is the log file > from the “decomposePar” command and the mpirun command “mpirun -np 9 > interFoam –parallel”. > Do you have an idea where the problem is or how I can narrow it down? > Thanks much for any help. > > Andre > > > _______________________________________________ > users mailing list > us...@open-mpi.org<mailto:us...@open-mpi.org> > http://www.open-mpi.org/mailman/listinfo.cgi/users >
