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SPIE Journal of Nano Photonics - Fall 2023

Installing kubernetes

Install kubernetes kubernetes on Ubuntu

  • sudo snap install kubectl --classic
  • Verify installation with kubectl. This should show the command is recogized by system.

Setup config file for computing cluster

  • Nautilus is the computing cluster for this project. Make an account and login. Then download the config file and place inside of ~/.kube/ on the client machine.

  • Verify config file is setup correctly via kubectl get pods. It should not throw warnings or errors.

Data Generation Using Kubernetes

Create storage volumes for storing our code and simulations

  • kubectl apply -f kube_files/storage/results.yaml

Verify creation of storage volumes

  • kubectl get pvc

Launch data generation

  • python run_data_generation.py -config config.yaml

Monitor data generation job

  • kubecel get job : shows all jobs

    • Each job will spawn a pod (i.e., container) to process a simulation.
  • kubecel get pod : shows all pods

  • kubectl describe pod [pod_name] : shows details of the creation process for a pod. Pods take time to launch.

    • [pod_name] is the name of the pod shown in kubectl get pod above
  • Note: interactive pods only last 6 hours. If a pod expires, it needs to be deleted: kubectl delete pod {pod_name} and then recreated.

  • Use an interactive pod to check what simulation files are being generated

    • kubectl apply -f andy_monitor.yaml : create the pod. Monitor creation with kubectl describe pod monitor.
    • kubectl exec -it andy-monitor -- /bin/bash : enter the monitor pod as interactive root user.
    • ls /develop/results : show created simulation files

Repo Details

Folder descriptions:

  • kubenetes : contains files for data generation via kubernetes.
  • build : contains Dockerfile for running meep simulations.
  • src : contains python scripts for generating meep data.
  • _3x3Pillars.py : contains the class which serves as a wrapper for meep, specifically for running our simulations.
  • utils : contains the parameter manager, which manages all of our meta atom parameters, which are initialized in config.yaml.

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