[LA-SIGMA] HPC Training: Magic Tools to Install / Manage Software Part 2: Singularity Container

[Feng Chen]

Dear All,

The schedule for the Fall 2023 HPC Training is available at http://www.hpc.lsu.edu/training/tutorials.php.

Our next HPC training will be held on Wednesday, November 01 at 9:00 AM. All training sessions are Zoom online events from 9:00AM to 11:00AM. The sessions will be recorded for later review.

Note that all HPC trainings will start at 9:00AM.

Wednesday, November 01,2023: Magic Tools to Install / Manage Software Part 2: Singularity Container
Installing and managing software packages often poses a challenge 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 introduce container technology 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.
Prerequisites: Basic understanding of shell commands is assumed but not required.

Next HPC Training:

Wednesday, November 08,2023: Introduction to GNU Parallel
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: Basic knowledge of HPC environment and Linux is preferred but not required.

Please visit http://www.hpc.lsu.edu/training/tutorials.php for more details and register using the link provided. Users will be provided with a zoom link in their registration confirmation email. Please see the system requirements at https://support.zoom.us/hc/en-us/articles/201362023-System-Requirements-for-PC-Mac-and-Linux.

Please distribute to faculty, staff and students that might be interested.

Thanks,

Feng Chen, PhD
Manager of User Services
High Performance Computing
Louisiana State University
329 Frey Computing Services Center, Baton Rouge, LA  70803
office 225-578-2924
fchen14 at lsu.edu<mailto:fchen14 at lsu.edu>
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