Past Events

This technology lab (a hands-on short course) contains a set of four sessions to help a new user start with machine learning projects on ACES and FASTER supercomputers at the Texas A&M High Performance Research Computing. You will learn how to load modules with jupyter lmod extension, manipulate and visualize data with Pandas and Matplotlib, use Scikit-learn for linear regression and classification applications and use Keras to create and train a simple image classification model with deep neural networks (DNN).

This short course includes introduction to Graphcore IPU, demonstration 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

Most high-performance computing (HPC) systems are specialized resources in high demand and shared simultaneously by many researchers across all domains of science, engineering, and beyond. In order to fairly distribute and share the compute resources of an HPC system among these researchers, which have varying compute demand profiles over time, most computational workloads on these systems are executed as batch jobs --- prescripted sets of commands that are executed on a certain type or set of compute resources for a given amount of time.

The AI bootcamp will provide a common foundation in AI methods and technology for professionals in a wide range of roles supporting the research computing and data needs for an organization.  The bootcamp is being offered virtually, meeting for two 2-hour sessions each week, 8 sessions in February and March with optional python refresher sessions (Feb 14 & 16) before the start of the bootcamp. AI topics will be taught by experts from the Computer Science and Engineering Department at The Ohio State University.  

Dates:  Feb 14 – Mar 21

This technology lab (a hands-on short course) guides the student though activities to get started with container projects using Charliecloud software suite. This course will provide participants hands-on experience to use basic Charliecloud containers for HPC applications. We’ll dive deeper into the use of Charliecloud, the unprivileged container solution from Los Alamos National Laboratory's HPC Division. Participants will build toy containers and real HPC applications, and then run them in parallel on a cluster. This will be a highly interactive workshop with lots of Q&A.

This tutorial (hands-on short course) introduces the use of Containers using the Charliecloud software suite. This course will provide participants with background and hands-on experience to use basic Charliecloud containers for HPC applications. We will discuss what containers are, why they matter for HPC, and how they work. We’ll give an overview of Charliecloud, the unprivileged container solution from Los Alamos National Laboratory's HPC Division. Participants will build toy containers and real HPC applications, and then run them in parallel on a cluster.

This Short Course (2.5 hours) covers various job scheduling approaches using the Slurm Workload Manager on ACES and FASTER Resources.

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

Introduction to research computing on the composable ACES and FASTER clusters. This course will provide an overview of the composable technology and advanced accelerators available on ACES and FASTER.

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

This hour-long primer (an introductory lecture) covers starting and using a Jupyter notebook in Open On Demand on HPRC clusters.

More information about this Primer (and others) at https://hprc.tamu.edu/training/primers_popup.html

Date/Time

Tuesday, January 31, 1:30 PM CST (1 hour) virtually on Zoom.

This hour-long primer (an introductory lecture) covers various job scheduling approaches using the Slurm Workload Manager.

More information about this Primer (and others) at https://hprc.tamu.edu/training/primers_popup.html

Date/Time

Tuesday, January 31, 10 AM CST (1 hour) virtually on Zoom.

This hour-long primer (an introductory lecture) covers a variety of topics relevant to computing on the FASTER cluster, demonstrated through a live login session. The ACES cluster will have the same features in future phases. 

More information about this Primer (and others) at https://hprc.tamu.edu/training/primers_popup.html

Date/Time

Tuesday, January 24, 1:30 PM CST (1 hour) virtually on Zoom.

This hour-long primer (an introductory lecture) covers basic topics:

• Basic commands
• Process and filesystem concepts
• Shells
• I/O redirection
• Shell scripts

This material is a pre-requisite for many other ACES training courses. 

More information about this Primer (and others) at https://hprc.tamu.edu/training/primers_popup.html

Date/Time

Tuesday, January 24, 10 AM CST (1 hour) virtually on Zoom.

Cybersecurity and Coding for Middle and High School Students

Tuesday, January 3, 9 am - 4 pm CST

Get Ready for Summer!

The Seasonal Computing Academy is a 6-hour workshop for high school students who are interested in attending the Summer Com

Julia is a high-level dynamic language, based on LLVM. Its features are well-suited for numerical analysis and computational science. Thanks to its compiler, Julia can achieve high-performance and take advantage of SVE instructions on the A64FX CPU.

This course will introduce students to the Intel FPGAs and how to use the Intel oneAPI toolkit to develop applications to run on FPGAs.

Prerequisites: Current ACES account or HPRC account. Basic Linux/Unix skills. C++.

Apply for ACES account: https://access-ci.atlassian.net/wiki/spaces/ACCESSdocumentation/pages/111512085/ACES+Texas+A+M#Apply-for-an-Accounts

This technology lab contains a set of four sessions to help a new user start with machine learning projects on ACES and FASTER supercomputers at the Texas A&M High Performance Research Computing. You will learn how to load modules with jupyter lmod extension, manipulate and visualize data with Pandas and Matplotlib, use Scikit-learn for linear regression and classification applications and use Keras to create and train a simple image classification model with deep neural networks (DNN).

Prerequisites: Current ACES or HPRC Account, Basic Python skills

Historically, high-performance computing (HPC), has primarily involved tightly coupled simulations executed in synchronous fashion across nodes. More recently, other paradigms within research computing have become common where the workload is not a single large coupled task, but instead very many modest tasks with little to no dependency on each other. These could be data processing and analysis tasks, machine-learning experiments, bioinformatics tasks, or parameter searches in a calculation.

ACCESS along with the Pittsburgh Supercomputing Center is pleased to present an OpenACC GPU programming workshop. OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Bridges-2 computing platform at the Pittsburgh Supercomputing Center.

To lessen the negative impact of unemployment on individuals and society, governments and corporations need to understand how much and where people are most economically impacted by unemployment. We are looking for more people to help by participating in a virtual multi-phased data science hackathon called “Hacking Unemployment”! There are still about 50 spots left before the minimum requirements of participation are met by the sponsors of the hack.

In this two-day workshop, you will learn about several components available inside the oneAPI Toolkit for AI/ML applications.

Prerequisites: Current ACES account or HPRC account, experience with python

Workshop dates are Tuesday, October 25 and Tuesday, November 1, 10:00 AM-12:30 PM and 1:30-4:00 PM. Each day will have a morning session with introductory level material and an afternoon with intermediate level material.

Instructor: HPRC: Richard Lawrence, Zhenhua He; Intel: Aaryan Kothapalli, Yuning Qiu