Tutorials

Introduction to UVA HPC

This tutorial is an introduction to using UVA's high-performance computing (HPC) system.

Introduction to Rio

This tutorial is an introduction to using the High Security HPC platform Rio

Using UVA's HPC System from the Terminal

This tutorial is an introduction to using the Unix command line on UVA's HPC System.

Using Slurm from a Terminal

This tutorial is an introduction to submitting Slurm jobs through a terminal interface.

Unix Tutorials for Beginners

This set of tutorials is an introduction to using the Unix operating system from the command line.

Using Globus to Transfer Data

This tutorial will cover data transfer using Globus software.

Version Control with Git

Learn to use the git version-control system to manage your software projects. Back up your projects on GitHub.

Working with Genomic Data on HPC

This tutorial introduces tools and resources for performing genome assembly and analysis with HPC.

Building and Running C/C++ and Fortran Codes on the HPC System

This tutorial will teach you to compile, link, and run programs written in C, C++, or Fortran on UVA's HPC system.

Connecting to HPC

This tutorial will teach you multiple methods for connecting UVA's HPC system in the web browser.

Interactive Apps with Open OnDemand

This tutorial will introduce several interactive apps built-into Open OnDemand.

Using the Shell on Open OnDemand

This tutorial will explain how to access the shell on UVA HPC, as well as several useful shell commands for working with HPC.

Working with Files

This tutorial will teach you how to work with files on UVA HPC through your browser, including creating, deleting, editing, and more.

Working with Jobs in Open OnDemand

This tutorial will explain how to view and create jobs on UVA HPC through Open OnDemand.

Benchmarking Parallel Programs

Learn how to benchmark your program for parallel SLURM jobs.

GPU-Enabled Applications on UVA's HPC Systems

This tutorial is an introduction to utilizing GPU computing resources on UVA's HPC systems.

The NVIDIA RAPIDS Library

Accelerate your data science pipeline with RAPIDS on NVIDIA GPUs

Introduction to Databases

This tutorial is an introduction to relational and NoSQL databases.

Image Processing with MATLAB

Getting started with image processing using MATLAB™

Statistical Methods with MATLAB

Using statistical methods with MATLAB™

Data Science with MATLAB

This hands-on workshop provides links to the MathWorks online courses in Data Science. It focuses on Machine Learning, Deep Learning, and Data Analytics

MATLAB Data Processing and Visualization

This tutorial is an introduction to basic data analysis and visualization in MATLAB™.

Introduction to Building and Deploying Containers

In this workshop we will go over how to containerize our apps with Docker and maintain them with GitHub.

Optimization Techniques in MATLAB

This workshop introduces applied optimization in the MATLAB environment, focusing on using the Optimization Toolbox™ and the Global Optimization Toolbox™.

Parallel Computing with MATLAB

In this hands-on workshop, you will be introduced to parallel and distributed computing in MATLAB™ for speeding up your application and offloading work.

Distributed Deep Learning with GPUs on HPC

This hands-on workshop provides an overview of neural networks with a focus on GPUs. Example codes will be provided in both Tensorflow and Pytorch and how to use them on Rivanna.

This hands-on tutorial will show you how to classify images with a pretrained neural network, modify a pretrained network to classify images into new specified classes, and build a neural network from scratch.

Using Bioinformatics Tools on Rivanna

This tutorial is an introduction to using several popular bioinformatics tools on Rivanna.

Biopython

An introduction to using the Biopython package to develop Python scripts for bioinformatics analysis.

Bioinformatics Data Visualization with Seurat

This tutorial is a step-by-step walkthrough of the Seurat workflow for single-cell RNA-seq analysis.

HPC Best Practices

This tutorial introduces various techniques and strategies to help users more efficiently use UVA's HPC System.

Introduction to QIIME 2

This tutorial is an introduction to using QIIME 2 for micribiome analysis.

AlphaFold on Rivanna

This tutorial introduces the basics of GPU computing and demonstrates how to run AlphaFold on the Rivanna cluster to predict protein structures.

Deep Learning in Drug Discovery

This tutorial introduces the deep learning approach to computational drug discovery.

Introduction to Bioinformatics Tools for HPC

An introduction to bioinformatics concepts, sequencing technologies, common analysis tools, and their use on high-performance computing systems.

Large Language Models (LLMs) on HPC

This tutorial is an introduction to running large language models on UVA's HPC system.

Multi-GPU LLM Inference

This tutorial is an introduction to multi-GPU strategies for large language model (LLM) inference using tools like Accelerate, DeepSpeed, and vLLM.

Introduction to Deep Learning Using HPC

This tutorial provides an introduction to deep learning using high power computing. This workshop will cover accessing deep learning containers, resource allocation and helpful tools, how to choose a GPU, and deep learning slurm scripts.

Machine Learning with Python

An introduction to machine learning with Python