job_submit_d2q9-bgk

#!/bin/bash

#PBS -N d2q9-bgk
#PBS -joe
#PBS -o d2q9-bgk.out
#PBS -q teaching
#PBS -l epilogue=~ggdagw/epilogue.sh
#PBS -l nodes=1:gpus=1,walltime=00:25:00

#! Mail to user if job aborts
#PBS -m a

# Select the GPU that we've been allocated
export THEANO_FLAGS='floatX=float32,device=gpu0,lib.cnmem=1'
export CUDA_ROOT=$CUDA_PATH/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_PATH/lib64 

#! application name
application="python Run.py"

#! Run options for the application
options=""

###############################################################
### You should not have to change anything below this line ####
###############################################################

#! change the working directory (default is home directory)

cd $PBS_O_WORKDIR

echo Running on host `hostname`
echo Time is `date`
echo Directory is `pwd`
echo PBS job ID is $PBS_JOBID
echo This jobs runs on the following machines:
echo `cat $PBS_NODEFILE | uniq`
echo "Using GPU at index $device"

numcores=`wc $PBS_NODEFILE | awk '{ print $1 }'`

#! Run the executable
$application $options