NVIDIA-GPU-Bootcamp-Training/hpc_ai/ai_science_climate

openacc-training-materials

Training materials provided by OpenACC.org. The objective of this lab is to give an introduction to application of Artificial Intelligence (AI) algorithms in Science ( High Performance Computing(HPC) Simulations ). This Bootcamp will introduce you to fundamentals of AI and how they can be applied to Climate/Weather

Prerequisites:

To run this tutorial you will need a machine with NVIDIA GPU.

• Install the Docker or Singularity.

Creating containers

To start with, you will have to build a Docker or Singularity container.

Docker Container

To build a docker container, run: sudo docker build --network=host -t <imagename>:<tagnumber> .

For instance: sudo docker build -t myimage:1.0 .

and to run the container, run: sudo docker run --rm -it --gpus=all --network=host -p 8888:8888 myimage:1.0

The container launches jupyter notebook and runs on port 8888 jupyter notebook --ip 0.0.0.0 --port 8888 --no-browser --allow-root

Then, open the jupyter notebook in browser: http://localhost:8888 Start working on the lab by clicking on the Start_Here.ipynb notebook.

Singularity Container

To build the singularity container, run: sudo singularity build <image_name>.simg Singularity

and copy the files to your local machine to make sure changes are stored locally: singularity run <image_name>.simg cp -rT /workspace ~/workspace

Then, run the container: singularity run --nv <image_name>.simg jupyter notebook --notebook-dir=~/workspace

Then, open the jupyter notebook in browser: http://localhost:8888 Start working on the lab by clicking on the Start_Here.ipynb notebook.