Many thanks to that great work by Nikyle Nguyen here to create an MPI base image that I built upon.

These scripts create a set of MPI workers inside of docker containers on nodes specified via Ansible hostgroup. To run benchmarks, a container is started on the local node as master.

Dockerfile and build_image.sh - Use the build_image.sh wrapper to set arguments, build, and push final image to repository.

control_mpi.sh - bash script to orchestrate 1) starting and stopping all MPI workers and 2) running ior or mdtest benchmarks.

recreate-test-filesystem.py -- python script that use the FB REST API to create a fresh filesystem for IOR testing.

• Install software dependencies: docker, ansible, jq
• Setup Ansible host group for all nodes that will participate as MPI workers. Update HOSTGROUP variable in control_mpi.sh script.
• Create and configure an NFS filesystem, update DATAHUB_XY with NFS IP and export name. Optionally, use included python script to create filesystem.
• Update REPONAME (build_image.sh) and IMGNAME (control_mpi.sh) to point to a repository to store the docker image.
• Update CONC to the number of parallel tasks to launch. Recommend value is the total core count in cluster.
• Execute "control_mpi.sh start" to bring up the MPI workers. This step also builds and distributes the docker image and creates a hostfile for running tests.
• Run benchmark with "control_mpi.sh run ior|mdtest"