Revision 23 as of 2009-11-24 16:44:58

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Usage of the Linux Clusters at DESY Zeuthen

There are no dedicated parallel clusters available at the moment, but you can run parallel MPI jobs in the SGE farm. The documentation in Batch_System_Usage applies there.

Building Applications

Since SL5, all batch worker nodes have the openmpi implementation of the MPI standard installed. Recently the machines were upgraded to the default SL5.4 packages of openmpi. For 64 bit applications use the installation in /usr/lib64/openmpi/1.3.2-gcc/bin, for 32 bit use the binaries from /usr/lib/openmpi/1.3.2-gcc/bin .

Additional openmpi versions are installed to support the Intel and PGI compilers:

/usr/lib64/openmpi-1.3.2-intel/bin
/usr/lib64/openmpi-1.3.2-pgi/bin

If you don't want to specify the full path to your preferred MPI implementation, configure a default by using the ini command or running mpi-selector-menu on a build machine.

Building applications

64 bit MPI Applications can be compiled on any 64 bit SL5 machine, e.g. sl5-64.ifh.de.

Batch System Access

A job script designated for a parallel job needs to specify the parallel environment and the number of required CPUs. The parameter looks like this for up to 8 slots on a single node:

#$ -pe multicore-mpi 8

For more MPI processes, use -pe mpi.

Be sure to call the right mpirun version for your architecture. If you application was compiled for 64 bit, use

/usr/lib64/openmpi/1.3.2-gcc/bin/mpirun -np $NSLOTS yourapp

AFS Access

The application binary must be available to all nodes, that's why it should be placed in an AFS directory.

BLAS library

Both ATLAS ans GotoBLAS are available.

Further documentation

HPC-Clusters at DESY Zeuthen , 11/22/06, technical seminar