Purdue University

Future Trainings

For a list of planned future trainings, see the Events page.

For data science and machine learning training, see our data science and AI training page.

Purdue Indianapolis faculty and students can get information about RCAC resources from our Purdue Indianapolis training page.

Computing and Storage Training

Quick reference cards

• Basic command line tools in Linux introduces some of the popular commands in Linux. 
• Introduction to RCAC clusters presents an overview of how to use the RCAC community clusters. 

General trainings

This sessions are designed for all users, from our local community clusters to the ACCESS Anvil system.

• Containerizing HPC applications with Singularity/Apptainer covers the basics of containerizing HPC applications using Singularity/Apptainer on all RCAC systems.
• Fundamentals of Job Management introduces various strategies available for establishing and managing scientific workflows.
• Practical Quantum Computing for Scientists introduces Quantum Computing (QC) and IBM Qiskit. 
• Intel oneAPI Training Series provides short lectures on various topics related to the Intel oneAPI. 

Anvil trainings

The Anvil training series features content specific to the ACCESS Anvil system.

• Anvil 101 New User Tutorial. The webinar covers the basics of connecting to Anvil, managing the user environment, running jobs on Anvil and data management.

• Anvil Open OnDemand 101 discusses how to open, log in, and interact with HPC resources via Open OnDemand on Anvil.

• Containerized Bioinformatics Applications for HPC covers containerized bioinformatics computing resources provided by Purdue Rosen Center for Advanced Computing in ACCESS Anvil.

• Interactive Computing on the Anvil Composable Subsystem gives an introduction and examples of using the interactive and composable capabilities of Anvil.

• Using VASP on Anvil provides a quick introduction to VASP, an overview of creating and optimizing VASP jobs on Anvil, and practical tips for success.

Purdue Trainings

Purdue Trainings cover topics and features specific to our local community clusters and resources. 

• Unix 101 covers the basics of working on a Linux/Unix system.

• Unix 102 covers shells, file streams, and pipelines in Linux/Unix systems.

• Unix 201 covers some more advanced topics in Linux/Unix computing.

• Unix 202 covers additional advanced topics in Linux/Unix computing.

• Clusters 101 covers the specifics of working with RCAC clusters.

• Clusters 201 covers how to submit jobs on RCAC clusters.

• Software Installation 101 covers the fundamentals of installing software on a Linux/Unix system.

• Slurm Transition covers how to migrate your work from a PBS cluster to the new Slurm scheduler.

• Python Package Installation covers how to install scientific Python applications on RCAC clusters.

• Jupyter Kernels and HPC Is an intermediate level discussion of how the Jupyter system (JupyterHub, Jupyter Notebook, etc.) function at an application level on a distributed computing cluster.

• Research Storage Overview covers RCAC storage resources and services, typical use cases, access methods and data management strategies and workflows.

• The Fortress Tape Archive describes the use of the Fortress archive from a RCAC cluster through the hsi and htar commands.

• Globus Overview gives an introduction and examples of using Globus platform for transferring and sharing research data securely and reliably.

• Containers 101 gives an introduction and examples of using containers on RCAC clusters.

• Biocontainers 101 gives an introduction and examples of using containers in bioinformatics.

• Running Bioinformatics Analysis in HPC covers how to run bioinformatics analysis using clusters.

• Open OnDemand 101 gives an introduction about how open log in and interact with HPC resources via Open OnDemand.

• Workflow Automation Tools for Many-Task Computing This workshop outlines this paradigm on a traditional SLURM cluster along with several solutions. Different tools and techniques are discussed in an escalating fashion covering various features and pitfalls.

• AlphaFold Protein Structure Prediction and Visualization with PyMOL on Negishi and Gilbreth This workshop is for students, staff, and faculty interested in learning how to get started with AlphaFold and PyMOL on computing HPC clusters at Purdue University.