Difference between revisions of "Wien2k"
(→Parallel runs in the Grid Engine) |
|||
Line 12: | Line 12: | ||
To access the compute nodes it is necessary that you use the batch system. Please make sure that the [[Sun Grid Engine|'''SUN grid engine''']] is configured correctly for your account. See the [[Sun Grid Engine|wiki page]] for further instruction. Furthermore you need the [[Intel Compiler Temp|'''Intel MKL libraries''']] in your LD_LIBRARY_PATH. <br> | To access the compute nodes it is necessary that you use the batch system. Please make sure that the [[Sun Grid Engine|'''SUN grid engine''']] is configured correctly for your account. See the [[Sun Grid Engine|wiki page]] for further instruction. Furthermore you need the [[Intel Compiler Temp|'''Intel MKL libraries''']] in your LD_LIBRARY_PATH. <br> | ||
+ | |||
+ | You need one slot for the the master process which start and controles the slaves. If you allocate 8 Slots you will get 7 worker. | ||
Up to now, only the k-point parallelization is working. Here is a annotated example script: | Up to now, only the k-point parallelization is working. Here is a annotated example script: |
Revision as of 14:45, 20 February 2009
This page is indent to give some instructions, how to run the wien2k package in our Cluster.
Access
The official build is installed in the user account "wien2k". Access to this account is restricted to users who are member of the unix group "wien2k". The latest version is always linked to the directory /home/wien2k/wien2k. Your setup in your .bashrc could look lile:
export WIENROOT="/home/wien2k/wien2k" export PATH="$WIENROOT:$PATH" export SCRATCH="/tmp"
Parallel runs in the Grid Engine
To access the compute nodes it is necessary that you use the batch system. Please make sure that the SUN grid engine is configured correctly for your account. See the wiki page for further instruction. Furthermore you need the Intel MKL libraries in your LD_LIBRARY_PATH.
You need one slot for the the master process which start and controles the slaves. If you allocate 8 Slots you will get 7 worker.
Up to now, only the k-point parallelization is working. Here is a annotated example script:
#! /bin/bash # # Sample wien2k script for use with sge in ITP # adopted from the tcsh version in wien2k/qsub-job0-sge # # $NSLOTS # the number of tasks to be used # $TMPDIR/machines # a valid machine file to be passed to mpirun # # Options passed to qsub (denoted by #$) : # # Pass your environment to job #$ -V # # Run in current working directory (in most cases a good idea) #$ -cwd # Rename the STDOUT und STDERR Stream to an friendly name #$ -o job.out #$ -e job.err # select a queue #$ -q dwarfs # # How many resources do I need (per slot) # Lightly overcommit the memory, that it runs on 8GB machine #$ -l h_vmem=2G,virtual_free=1800G # # Selected parallel environment and number of slots/processes # mpi is needed, although we do not start a mpi job #$ -pe mpi 6 # define the environment, eventually not needed export WIENROOT="/home/wien2k/wien2k" export PATH="$WIENROOT:$PATH" export SCRATCH="/tmp" # Set internal parallelization code in mkl to only use # on thread per process. export OMP_NUM_THREADS=1 # some information echo "Got $NSLOTS slots." >> job.out echo "Got $NSLOTS slots." >> job.err # read the mpi machines files (generated by the sge) proclist=(`cat $TMPDIR/machines`) # Remove first array element (this is the master) proclist=${proclist[*]:1} nproc=$NSLOTS echo $nproc nodes for this job: $proclist rm .machines # Convert proclist to one line per slot/k-point. # In a single queue all nodes have equal performance. for a in $proclist; do echo 1:$a >> .machines done #This line would force the mpi version #echo 1:$proclist >> .machines echo 'granularity:1' >>.machines echo 'extrafine:1' >>.machines # Run your caclulation x lapw1 -p