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Upcoming Events

Resources

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.

Users

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.

Documentation & Help Desk

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

Training

HPC@LSU offers a sequence of tutorials every semester.

1. October 9,2024: Open OnDemand: Interactive HPC via the Web

TopicOpen OnDemand: Interactive HPC via the Web
DateOctober 9,2024
Time9:00 AM - 11:00 AM
PlaceZoom Online
DescriptionThis training will provide an introduction to Open OnDemand, a browser based tool now available to all LSU HPC users on campus. Open OnDemand requires only a web browser (no plug-ins) and an LSU HPC account. It features a file browser, command line shell access, job management, and access to interactive Jupyter notebooks and RStudio servers running interactively on SuperMIC's compute nodes. This training will feature an overview of Open OnDemand, and a demonstration of all it's features, including Jupyter Notebook and RStudio.

Prerequisites
  • LSU HPC account
  • Some knowledge of using HPC is assumed but not required

Slides
RegistrationClick here

2. October 16,2024: Introdution to Python

TopicIntrodution to Python
DateOctober 16,2024
Time9:00 AM - 11:00 AM
PlaceZoom Online
DescriptionPython is a high-level programming language, easy to learn yet extremely powerful. This training will provide an introduction to programming in Python. The subjects include basic Python syntax, Python classes used in object-oriented programming. Basic Python modules for scientific computing and plotting will also be introduced. During the training, simple Python programs will be provided for demonstration.

Prerequisites
  • Basic understanding of a programming language is assumed but not required.

Slides
RegistrationClick here

3. October 23,2024: Magic Tools to Install - Manage Software Part 1: Conda Virtual Environment

TopicMagic Tools to Install - Manage Software Part 1: Conda Virtual Environment
DateOctober 23,2024
Time9:00 AM - 11:00 AM
PlaceZoom Online
DescriptionInstalling 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
  • Basic understanding of shell commands is assumed but not required.

RegistrationClick here

4. October 30,2024: Magic Tools to Install - Manage Software Part 2: Singularity Container

TopicMagic Tools to Install - Manage Software Part 2: Singularity Container
DateOctober 30,2024
Time9:00 AM - 11:00 AM
PlaceZoom Online
DescriptionInstalling 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
  • Basic understanding of the Linux OS and shell commands is assumed but not required.

Slides
RegistrationClick here

5. November 6,2024: Introduction to GNU Parallel

TopicIntroduction to GNU Parallel
DateNovember 6,2024
Time9:00 AM - 11:00 AM
PlaceZoom Online
DescriptionIn 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
  • Basic knowledge of HPC environment and Linux is preferred but not required.

Slides
Source Code
RegistrationClick here

6. November 13,2024: Molecular Dynamics

TopicMolecular Dynamics
DateNovember 13,2024
Time9:00 AM - 11:00 AM
PlaceZoom Online
DescriptionMolecular 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
  • Basic knowledge of HPC environment and Linux is preferred but not required.

RegistrationClick here

The tutorials cover Linux/Unix, parallel programming for HPC systems, in-depth application coverage, and ... Read More