#!/bin/csh
# this script is a qsub companion script that's written explicitly
# to handle Array Jobs (-t) option for MATLAB standalone batch jobs.
# Similar to matlab -r ". . ." but more flexible
# Usage:
# scc1$ qsub ./run_standalone_job                # n=100
# scc1$ qsub -v n=200 ./run_standalone_job       # n=200
# scc1$ qsub -t 200 ./run_standalone_job         # n=200
# scc1$ qsub -t 100-500:200 ./run_standalone_job # n=100,300,500
#
# Specify SGE batch scheduler options
# Merge output and error files in one
#$ -j y
# Send email to SCC userID when job finished or aborted
#$ -m ae
# Request 4 cores from omp queue (example needs multicores)
# For serial apps, prepend the line below with another #
#$ -pe omp 4
# set default value for n; override with qsub -v or -t at runtime
#$ -v n=100
# Give the job(s) a name
#$ -N myJobs

echo "\n\n********************************************"
echo "* This job runs on $HOSTNAME"
echo "********************************************\n\n"

set NODENAME = `echo $HOSTNAME | sed 's/.scc.bu.edu//'`

# Running MATLAB standalone results in creation of a cache folder
# in home dir which may cause runtime issues. Workaround below
echo tmpdir is $TMPDIR
setenv MCR_CACHE_ROOT $TMPDIR
echo "\n\n********************************************"
echo "* Created local scratch folder /net/$NODENAME$TMPDIR"
echo "********************************************\n\n"

unsetenv DISPLAY

if $?SGE_TASK_ID then
  @ n = $SGE_TASK_ID
endif

@ nprocs = $NSLOTS;   # -pe omp 4 ==> NSLOTS = 4 

# this standalone example expects n (parfor i=1:n) & nprocs (cores)
./myExecR2014b $n $nprocs