Past Events

High-performance computing (HPC) systems are specialized resources in use and shared by many researchers across all domains of science, engineering, and beyond. In order to distribute these advanced computing resources in an efficient, fair, and organized way, most of the computational workloads run on these systems are executed as batch jobs, which are simply prescripted sets of commands that are executed on a subset of an HPC system’s compute resources for a given amount of time.

The Human Biomolecular Atlas Program (HuBMAP) is a program funded by the US National Institutes of Health to characterize the human body at single cell resolution, integrated to other efforts such as the Human Cell Atlas.

The Human Biomolecular Atlas Program (HuBMAP) is a program funded by the US National Institutes of Health to characterize the human body at single cell resolution, integrated to other efforts such as the Human Cell Atlas.

In this webinar, we will introduce the storage network, discuss requirements for joining, and address how the OSN can help meet NSF CC* programmatic requirements. We will look at how organizations are using the OSN today, cover common workflows that we support, and look at opportunities on how OSN can be leveraged for future proposals with particular focus on AI/ML and generative AI workloads. We will then conclude with an open discussion to answer any questions.

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, and demonstrations of running AI/ML models with the GPUs using PyTorch and Tensorflow. 

Prerequisites: Current ACCESS ID; basic Linux/Unix skills; basic understanding of machine learning concepts, neural networks, and deep learning; familiarity with deep learning frameworks TensorFlow and/or PyTorch. 

Hosted by the OSG Facilitation team, this training will cover what you need to consider when transitioning existing GPU-based code from another computing system to the OSPool. We will review important GPU concepts and terminology and how to request GPUs on the OSPool.

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 

You are invited to attend a comprehensive, in-person workshop hosted at the University of Puerto Rico. This workshop is designed for professionals and enthusiasts seeking to deepen their understanding of containerization in HPC systems.
 

The workshop will provide focused exploration of Apptainer on Bridges-2, offering participants an opportunity to gain practical insights and knowledge in this area.

RCAC Anvil Open OnDemand is for students, staff, and faculty interested in transitioning from using local computing resources to using the ACCESS Anvil cluster via Open OnDemand. No prerequisite knowledge is required.

Topic Overview:

• Background on clusters and Open OnDemand
• Navigating Open OnDemand
• Launching interactive apps

When you need support from the Anvil team for a complex workflow, or want to discuss your ideas directly with our team, please consider registering for Anvil Support Hour! We will be available every Thursday from 2:00pm-3:00pm EST via Zoom. Reserve your 20-minute slot for our discussion! Topics for our conversation can be about:

This workshop will include two talks about optimizing, profiling, and benchmarking input/output operations using HDF5 and DLIO.

Hosted by our development team, Zoom open office hours are the perfect opportunity to ask questions or make a suggestion. They are held on the second Tuesday of every month from 11:15 a.m. to 12:45 p.m. ET.

More information and Zoom coordinates are available on the Open OnDemand Discourse forum.

In this initial RCAC Generative AI Series workshop, attendees will explore the art and science of prompt engineering in the realm of generative AI. This session is designed to provide practical insights into crafting effective prompts to generate more relevant and accurate results. While prior knowledge of deep learning fundamentals will be beneficial, the workshop will offer a broad overview suitable for various participants, from students to faculty.

This webinar in the ByteBoost program https://www.stonybrook.edu/ookami/ByteBoost.php will present  https://hprc.tamu.edu/aces/ , an innovative composable hardware platform that helps accelerate transformative changes in multiple scientific research areas. ACES offers a rich accelerator testbed consisting of five different cutting edge accelerators including NVIDIA and Intel Ponte Vecchio GPUs (Graphics Processing Units) and Graphcore IPUs (Intelligence Processing Units).

We will cover typical approaches to moving your computations to HPC resources – use of applications/software packages already available on the system through Linux environment modules; compiling code from source with information on compilers, libraries, and optimization flags to use; setting up Python & R environments; use of conda based environments; managing workflows; and use of containerized solutions via Singularity. The session covers general principles, with hands-on activities on SDSC resources.

Open OnDemand, an intuitive, innovative, and interactive interface to remote computing resources, is now available on Ookami. Open OnDemand helps computational researchers and students efficiently utilize remote computing resources by making them easy to access from any device. In this webinar we will show you how to use Open OnDemand on Ookami.

Hosted by the community, tips and tricks webinars share best practices of all things Open OnDemand. They take place on the first Thursday of every month at 1 p.m. ET.  

Recordings of previous events are available.

More information and Zoom coordinates are available on the Open OnDemand Discourse forum.

This short course (2.5 hours) will allow users to work through a hands-on tutorial covering how to run AlphaFold utilizing NVIDIA GPUs on the ACES cluster, a composable accelerator testbed at Texas A&M High Performance Research Computing.

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

This short course (2.5 hours) introduces researchers to Graphcore Intelligence Processing Units (IPUs) on the ACES cluster, a composable accelerator testbed at Texas A&M High Performance Research Computing. The instructor will demonstrate the execution of models from different frameworks on the IPU system, and participants will gain practical experience in converting TensorFlow and PyTorch code into IPU code through hands-on exercises.

Software Installation 101 is for anyone looking to learn the fundamentals of software installation on Linux/Unix-based high-performance computing systems. Prior experience with the command line and cluster computing will be helpful. Topics covered will include the following:

• Foundations
• Unpacking
• Compiling from Source
• Compiling from Source with Dependencies
• QA