Augusta Univeristy HPC
Welcome to the Augusta University High Performance Computing (AUHPC) documentation! This resource provides guidance on accessing, using, and optimizing the HPC cluster for research and academic projects. Whether you are new to HPC or an experienced user, you will find information here to help you run jobs efficiently, manage data, and make the most of Augusta University’s advanced computing resources.
Getting Started
The Getting Started section is designed to help new users begin working with Augusta University’s HPC resources. It introduces the Loki and Vali clusters, outlines acceptable use policies, and provides quick-start guides for connecting, running jobs, and accessing available software. You’ll also find information on the committees that oversee the HPC program.
Cluster Usage
The Cluster Usage section provides an overview of Augusta University’s HPC resources and how to use them effectively. Here you will find information on the cluster architecture, available applications, job submission methods, data transfer options, and workflow management with SLURM. These guides are designed to help you run computations efficiently and follow best practices for using the system.
Storage
The Storage section explains how data is stored and managed on Augusta University’s HPC clusters. It covers the different types of storage available, the cluster file systems, data transfer tools such as Globus, and best practices for efficient and secure storage usage. These guides will help you organize your research data, move files between systems, and make the best use of available storage resources.
Support and FAQ
The Support and FAQ section is your next stop if you encounter issues while using Augusta University’s HPC resources. Here you will find guidance on getting help, troubleshooting common problems, staying informed about system updates, and accessing additional learning resources. The Frequently Asked Questions cover topics from general usage and job submission to storage, software, and account management.