This page catalogues some typical job scripts for different methods of parallelizing code. These examples are not exhaustive and more examples can be found on individual software pages. However, these are typical of some of the most important styles of computation on an HPC system: Serial Computing, Shared Memory Parallelism, Distributed Memory Parallelism, Job-Level Parallelism and GPU Accelerated Computing. These examples exclude software environment setup and focus on resource requests for different types of parallelism.
This script starts one process with four CPU cores.
In order for this to work, the OpenMP code arrayUpdate.c must be compiled with OpenMP support, e.g.
gcc -fopenmp arrayUpdate.c
This example script launches four MPI processes, each with 1000 MB of memory.
distributedMemory_job.slurm:
#!/bin/bash#SBATCH --time=1:00:00#SBATCH --nodes=1#SBATCH --ntasks-per-node=4 # number of MPI processes should match total ntasks#SBATCH --cpus-per-task=1#SBATCH --mem-per-cpu=1000M # memory allocated for each cpu
mpiexec ./matrixProduct_program
