HPC@LSU provides computational resources to the LSU campus and LONI members statewide. Provided services, such as the help desk and consulting, are available to all supported users. Online training sessions and and other education resources are available to all. Click Here to learn more about available resources.
LSU HPC resources are available to all LSU Faculty and their affiliates while LONI resources are available to all LONI Member Institution Faculty and their affilates. Click Here to learn about account policies.
HPC@LSU conducts weekly system status and information meetings, to which users are invited. Click Here for more information.
User Guides for all HPC resources are provided Here.
Detailed guides for all software installed on HPC clusters as well as example scripts are provided here. Installed software is listed by name, type and cluster.
A Help Desk and other support services are also provided.Read More
HPC@LSU offers a sequence of tutorials every semester.
1. October 23,2024: Magic Tools to Install - Manage Software Part 1: Conda Virtual Environment
| Topic | Magic Tools to Install - Manage Software Part 1: Conda Virtual Environment |
| Date | October 23,2024 |
| Time | 9:00 AM - 11:00 AM |
| Place | Zoom Online |
| Description | Installing and managing software packages often poses a challange to HPC users on Linux systems without root permission. This two-part mini series is aiming at introducing helpful tools to remedy that. Part 1 will feature virtual environments and the software Conda, a popular tool working with virtual environments. In this training, we will discuss how to use Conda and virtual environments to install and manage software packages on our clusters, including frequently requested packages such as Tensorflow and PyTorch. We will also share useful tips, such as sharing virtual environment with group members and using Conda to manage software packages beyond Python (e.g., R / Perl). Prerequisites
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| Registration | Click here |
2. October 30,2024: Magic Tools to Install - Manage Software Part 2: Singularity Container
| Topic | Magic Tools to Install - Manage Software Part 2: Singularity Container |
| Date | October 30,2024 |
| Time | 9:00 AM - 11:00 AM |
| Place | Zoom Online |
| Description | Installing and managing software packages often poses a challange to HPC users on Linux systems without root permission. This two-part mini series is aiming at introducing helpful tools to remedy that. Part 2 will feature container techenology and the software Singularity (a.k.a. Apptainer), a popular implementation of containers on HPC. Containers are gaining increasing popularities for its flexibility and portability. More and more developers now start to release their software packages as working containers for users' convenience. In this training, we will discuss how to use Singularity to run container images on our clusters, acquire more container images, and build your own container images. We will also showcase the usage of containerized popular packages such as Tensorflow and PyTorch. Prerequisites
Slides |
| Registration | Click here |
3. November 6,2024: Introduction to GNU Parallel
| Topic | Introduction to GNU Parallel |
| Date | November 6,2024 |
| Time | 9:00 AM - 11:00 AM |
| Place | Zoom Online |
| Description | In scientific computation disciplines, such as bioinformatics and computational biology, many computational tools are serial in nature. To effectively run many serial jobs simultaneously on multi-core HPC platform can be challenging. GNU Parallel is an easy to use and also powerful tool for executing commands/tasks in parallel on one or multiple host machines. This training will introduce GNU Parallel and its basic features. Hand-on, real-world examples will be demonstrated on how to run different types of massive individual tasks using GNU Parallel.
Prerequisites
Slides Source Code |
| Registration | Click here |
4. November 13,2024: Molecular Dynamics
| Topic | Molecular Dynamics |
| Date | November 13,2024 |
| Time | 9:00 AM - 11:00 AM |
| Place | Zoom Online |
| Description | Molecular dynamics simulation (MD) is a computational technique that is used to study the dynamics of molecules and atoms over time. The tutorial will discuss the essentials of the classical molecular dynamics simulations. The basic system setup, initialization, and analysis for widely used simulation packages such as LAMMPS, GROMACS, AMBER and NAMD on LONI and LSU HPC clusters will be reviewed. Prerequisites
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| Registration | Click here |
The tutorials cover Linux/Unix, parallel programming for HPC systems, in-depth application coverage, and ... Read More