Accelerating AI/ML Workflows on a Composable Cyberinfrastructure

This Short Course (2.5 hours) introduces researchers to the Slurm scheduler on the ACES cluster, a composable accelerator testbed at Texas A&M University. Topics covered include multiple job scheduling approaches and job management tools.

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

Research computing on the composable ACES and FASTER clusters

This course will provide an overview of composable technology, where hardware can be reallocated between servers based on user requirements, featuring the advanced accelerators available on the composable ACES and FASTER clusters at Texas A&M University. Topics covered include hardware, access, policies, file systems, and batch processing.

This 1-hour primer covers starting and using a Jupyter notebook in Open OnDemand on the ACES cluster, a composable accelerator testbed at Texas A&M University.

More information about this primer at https://hprc.tamu.edu/training/primers_popup.html

This 1-hour primer covers various job scheduling approaches using the Slurm Workload Manager on the ACES cluster, a composable accelerator testbed at Texas A&M University.

More information about this primer at https://hprc.tamu.edu/training/primers_popup.html

This short course (2.5 hours) introduces researchers to simulated quantum annealing using the ACES cluster, a composable accelerator test-bed at Texas A&M University. 

Introduction to CryoSPARC for Cryo-EM Data Processing in Collaboration with the Laboratory for Biomolecular Structure and Dynamics.

This short course (2.5 hours) will cover aspects of using CryoSPARC on the ACES cluster including a demonstration with example image files.

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

This short course (2.5 hours) provides an overview of Intel PVC GPUs, guidance on accessing these GPUs on the ACES computing cluster at Texas A&M High Performance Research Computing, demonstrations of running AI/ML models with the GPUs using PyTorch and Tensorflow, and demonstrations of molecular dynamics using LAMMPS. 

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

Introduction to NVIDIA Parabricks, a software suite that allows users to perform secondary analysis of next generation sequencing DNA and RNA data. The software incorporated into NVIDIA Parabricks has been optimized to run on GPUs, drastically increasing the speed at which common NGS analyses and tasks can be completed. 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_parabrick.html 

This short course covers concepts of RNA-seq data analysis for differential expression, including quality control, reference-based read alignment, utilization of DESeq2, and data visualization in R.  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_rnaseq.html 

This short course covers basic topics in numerical computation and scientific programming using the Julia programming language. Topics include basic language elements and concepts, best practices in programming, and relevant open source tools. This is an introductory course. 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_julia.html 

This short course introduces concepts of metagenomics analysis based on data generated by Next Generation Sequencing (NGS) technology. 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_metagenomics.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_containers_scientific.html 

This course introduces concepts of containers and covers common containerization tasks using the Charliecloud and Singularity container engines on the ACES cluster, a composable accelerator testbed at Texas A&M University.

Read more about the course at https://hprc.tamu.edu/training/aces_container_fundamentals.html 

This short course introduces researchers to Graphcore IPUs on the ACES cluster, a composable accelerator testbed at Texas A&M University. Topics include demonstrations to run models of different frameworks on IPU system, and conversion of TensorFlow and PyTorch code to IPU code.

More information about this short course at https://hprc.tamu.edu/training/aces_ipus.html

Accelerating AI/ML Workflows on a Composable Cyberinfrastructure

This course is an introduction to the R programming language and covers the fundamental concepts needed to operate in the R environment. 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 tutorial (hands-on short course) introduces the use of Containers using the Charliecloud software suite. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University. No prior experience with containers is required. 

This Short Course (2.5 hours) introduces researchers to the Slurm scheduler on the ACES cluster, a composable accelerator testbed at Texas A&M University. Topics covered include multiple job scheduling approaches and job management tools.

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

Research computing on the composable ACES and FASTER clusters

This course will provide an overview of the composable technology, where hardware can be reallocated between servers based on user requirements, featuring the advanced accelerators available on the composable ACES and FASTER clusters at Texas A&M University. Topics covered include hardware, access, policies, file systems, and batch processing.