Events & Trainings

Accelerating AI/ML Workflows on a Composable Cyberinfrastructure

This short course (2.5 hours) provides an introduction to OpenFOAM, the open source CFD Toolbox, and how to use it on HPRC clusters. Hands-on exercises on how to get started with running your simulations, as well as implementing new theories, will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University.

Read more at https://hprc.tamu.edu/training/aces_intro_openfoam.html 

This course is an introduction to the R programming language and covers the fundamental concepts needed to operate in the R environment with a particular focus on data science. This course assumes no prior experience with R.

Includes a 1-hour lunch break.

More information about this Short Course at https://hprc.tamu.edu/training/aces_intro_r.html
 

This course introduces the use of containers for scientific workflows using the Singularity container engine. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University.

Read more at https://hprc.tamu.edu/training/aces_singularity.html 

This course introduces the use of containers for scientific workflows using the Charliecloud software suite. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University.

More information about this tutorial at https://hprc.tamu.edu/training/aces_charliecloud.html