NVIDIA-GPU-Bootcamp-Training/hpc/miniprofiler

Nsight Tool Tutorial

This repository contains mini applications for GPU Bootcamps.

Prerequisites:

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

• Install the Docker or Singularity.
• Install Nvidia toolkit, Nsight Systems (2020.1) and compute (2019.5).

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 -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 -p 8888:8888 myimage:1.0

Then, inside the container launch the Jupyter notebook assigning the port you opened: jupyter notebook --ip 0.0.0.0 --port 8888 --no-browser --allow-root

Once inside the container, start the lab by clicking on the START_profiling.ipynb notebook.

Singularity Container

To build the singularity container, run: singularity build miniapp_profiler.simg Singularity

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

Then, run the container: singularity run --nv miniapp_profiler.simg jupyter notebook --notebook-dir=~/labs

Once inside the container, start the lab by clicking on the START_profiling.ipynb notebook.

Questions?

Please join OpenACC Slack Channel for questions.