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This page explains how to deploy MPI (and/or GNU parallel) cluster with NFS filesystem in the KASI cloud. Here, OpenMPI (https://www.open-mpi.org/) is used as an MPI implementation. If you like to use Intel oneAPI toolkit and its MPI implementation, see the tip section of the current page. Slurm (https://slurm.schedmd.com/) workload manager can be installed in the cluster too. This how-to assumes that users know how to use a single VM by following the guide given in KASI Science Cloud : VM instances. The basic usage scenario is: 1) user prepares codes and data in the created NFS volume, 2) compile or run the prepared code with OpenMPI (or Intel MPI) w/ or w/o Slurm, 3) output files are stored in the NFS volume, and 4) if needed, an external NAS volume is accessed in the VMs to receive/send the data between the created MPI cluster and the NAS (see KASI Science Cloud : VM instances#Step4.ConfiguretheVMinstanceforremotedesktop&externaldatastore). The same scenario also works in the case using GNU parallel with other codes. The related codes and shell scripts mentioned in this how-to are available in https://github.com/astromsshin/cloud_ex. Cloning the github repository to the NFS volume is the easies way to use the provided materials.
Step 1. Choose a cluster template: KASI-OpenMPI-Cluster or KASI-OpenMPI-Cluster-Slurm
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