hzz analysis

First navigate to hzz directory with:

$ cd hzz

To run scripts on their own

$ python counter/hzz_counter.py --number_workers <number of divisions>

# Run for rank 0 up to rank number_workers-1
$ python worker/hzz_script.py --rank <rank>

$ python collector/hzz_collector.py

Alternatively you can run from the bash script:

$ hzz_bash.sh <number divisions>

To run with docker containarisation

Run:

$ ./hzz_containers.sh <number divisions>

This will run the code as several containers, final plot will be saved within data and not automatically shown. To delete all images once containers have finished running, use:

$ docker rmi -f $(docker images -aq)

To run and deploy with docker swarm

First create docker swarm on manager node using:

$ docker swarm init

Then add each worker node using worker-join token, before running on the manager node:

$ ./hzz_swarm.sh

To scale up or down with more worker nodes, first remove all services by running the following on the manager node:

$ docker service rm $(docker service ls -q)

Then add more worker nodes, and rerun hzz_swarm.sh