https://github.com/argonne-lcf/ATPESC_MachineLearning

Lecture and hands-on material for Track 8- Machine Learning of Argonne Training Program on Extreme-Scale Computing
https://github.com/argonne-lcf/ATPESC_MachineLearning

Last synced: 14 days ago
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Lecture and hands-on material for Track 8- Machine Learning of Argonne Training Program on Extreme-Scale Computing

• Host: GitHub
• URL: https://github.com/argonne-lcf/ATPESC_MachineLearning
• Owner: argonne-lcf
• Created: 2019-08-06T16:03:32.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-08-09T18:47:50.000Z (3 months ago)
• Last Synced: 2024-08-10T16:33:19.722Z (3 months ago)
• Language: LLVM
• Homepage: https://extremecomputingtraining.anl.gov/
• Size: 143 MB
• Stars: 32
• Watchers: 17
• Forks: 29
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# [ATPESC 2024](https://extremecomputingtraining.anl.gov/agenda-2024/)

At the beginning of the day, we will temporarily split into two groups. Attendees can choose between "Introduction to deep learning" (01_deepLearning) and "Building data pipelines" (02_dataPipelines).  

The "Introduction to deep learning" session will rely on Jupyter Notebooks which are targeted for running on [Google's Colaboratory Platform](https://colab.research.google.com) or [ALCF JupyterHub](https://www.alcf.anl.gov/support-center/theta/jupyter-hub). The Colab platform gives the user a virtual machine in which to run Python codes including machine learning codes. The VM comes with a preinstalled environment that includes most of what is needed for these tutorials.

The other sessions involve Python scripts executed on the [Polaris](https://docs.alcf.anl.gov/polaris/getting-started/) and [AI Testbed](https://www.alcf.anl.gov/alcf-ai-testbed) platforms at ALCF. 

## Using Google Colab

Google Colab involves running Jupyter notebooks, which you have experience with from earlier in the week. 

Do the following before you come to the tutorial:

*  You need a Google Account to use Colaboratory

*  Go to [Google's Colaboratory Platform](https://colab.research.google.com) 

*  You should see this page

![start_page](README_imgs/colab_start_page.png)

*  Now you can open the `File` menu at the top left and select `Open Notebook` which will open a dialogue box.

*  Select the `GitHub` tab in the dialogue box.

*  From here you can enter the url for the github repo: `https://github.com/argonne-lcf/ATPESC_MachineLearning` and hit ``.

![open_github](README_imgs/colab_open_github.png)

*  This will show you a list of the Notebooks available in the repo. When you select a notebook from this list it will create a copy for you in your Colaboratory account (all `*.ipynb` files in the Colaboratory account will be stored in your Google Drive).

* To use a GPU in the notbook select `Runtime` -> `Change Runtime Type` and select an accelerator.