mpirun_on_queue.sh

#!/bin/bash

## Give the Job a descriptive name
#PBS -N lab1

## Output and error files
#PBS -o parallel_test.out
#PBS -e parallel_test.err

## Limit memory, runtime etc.
#PBS -l walltime=01:00:00
#PBS -l pmem=100mb

## How many nodes:processors_per_node should we get?
#PBS -l nodes=4:ppn=4

## Start 
##echo "PBS_NODEFILE = $PBS_NODEFILE"
##cat $PBS_NODEFILE

## Run the job (use full paths to make sure we execute the correct thing) 
## NOTE: Fix the path to show to your executable! 
/usr/local/open-mpi/bin/mpirun -x MX_RCACHE=8 --mca btl tcp,self -np 32 --bynode \

## Seed for matrix generation
s = 4

for i in 1000 2000 
do
         /home/parallel/parlab06/lab1/serial/gauss $i $s
         export OMP_NUM_THREADS=4
         /home/parallel/parlab06/lab1/omp/omp_gauss $i $s
         for p in 2 4 8
         do   
         /usr/local/open-mpi/bin/mpirun --bynode -np $p --mca btl self,tcp /home/parallel/parlab06/lab1/ptp/continuous/mpi_gauss_cont $i $s
         /usr/local/open-mpi/bin/mpirun --bynode -np $p --mca btl self,tcp /home/parallel/parlab06/lab1/broadcast/continuous/gauss_broadcast_continuous $i $s
         /usr/local/open-mpi/bin/mpirun --bynode -np $p --mca btl self,tcp /home/parallel/parlab06/lab1/ptp/cycle/mpi_gauss_cycle $i $s
        /usr/local/open-mpi/bin/mpirun --bynode -np $p --mca btl self,tcp /home/parallel/parlab06/lab1/broadcast/cycle/gauss_broadcast_cycle $i $s
         done;
done