EasyHPC
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  • GitHub
  • CI/CD
  • System Administration
  • Horovod
  • DeepXDE
  • Neural Network Theory
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EasyHPC

EasyHPC is a repository including documentation for fast learning of HPC simulations with Python.

User guide

The tree follows the natural structure of the documentation.

  • GitHub
    • Create an issue
    • Fork the repository to your GitHub account
    • SSH key configuration
    • Workflow
    • Extra help
  • CI/CD
    • reStructuredText (RST)
    • Travis CI
    • Codacy
    • Branch protection rules
  • System Administration
    • Linux command line for beginners
    • Cluster and Jupyter Notebook
    • GPU programming
    • Anaconda
    • Docker
  • Horovod
    • Tutorials and documentation
    • Use horovod
  • DeepXDE
    • MacOS/Linux Installation
    • Solving a Time-independent PDE
    • Bibliography
  • Neural Network Theory
    • Summary of typical industrial process engineering problems
    • Neural Networks Intuitive Approach
    • Hypotesis Testing
    • Physics Informed Neural Networks (PINNs) vs Finite Element Method (FEM)
    • Bibliography

Indices and tables

  • Index

  • Module Index

  • Search Page

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© Copyright 2022, pescap. Revision c0d68039.

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