nyu-hpc

A guide to using NYU's high performance computing (for NYU students/staff)

View the Project on GitHub noisyneuron/nyu-hpc

Contents

~~ ~~ ~~ Work in progress! ~~ ~~ ~~

This guide to HPC is intentionally fragmented into parts – to make it easier to digest and refer to, and to elaborate on each topic. It is not a step-by-step start-to-finish guide on training a model, but by going through it in the following order, that process should become evident. Please report issues if the documentation is unclear, or certain steps were missed out, or if there are any inaccuracies.

Introduction (this page)

Account setup

Data storage and file systems

Data transfer

Requesting Resources

Modules, packages and virtual environments

Useful commands and troubleshooting

Running Jupyter notebooks

Examples workflows for popular ML repos

This documentation relies heavily on the notes shared by Cristobal Valenzuela and Dan Oved - big thanks to them.




HPC Introduction