The scientific software community has developed numerous ways to speed-up Python code. This post will help you leverage GPUs from Python scripts using CuPy.
TensorFlow is the most popular software package for training deep learning models. This tutorial explains how to install TensorFlow on the HPC clusters (TigerGpu and Adroit) and run TensorFlow jobs using the Slurm scheduler.
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Running Jupyter on your local machine is straight forward, but sometimes you need more computational resources which might mean hosting your work on a remote computer. This article will show you how to run Jupyter on a remote machine through an ssh tunnel such that you can interact with it in your local web browser.