Upcoming Events and Trainings
| Title | Date | Time | Description |
|---|---|---|---|
| ACES: Using the SLURM Scheduler on Composable Resources | 2/07/2023 | 2:30 PM EST - 5:00 PM EST | 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 Date/TimeTuesday, February 7, 1:30PM-4:00PM CST (2.5 hours) virtually on Zoom. |
| AI Bootcamp for CI Professionals - Common Foundation Track | 2/14/2023 | 3:00 PM EST - 5:00 PM EST | 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. |
| Getting Started with Batch Job Scheduling: Slurm Edition | 2/16/2023 | 2:00 PM EST - 3:00 PM EST | 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. |
| Anvil 101 | 2/23/2023 | 2:00 PM EST - 3:30 PM EST | This webinar covers the basics of connecting to Anvil, managing the user environment, running jobs, and data management. Knowledge of basic UNIX commands and submitting batch jobs to a cluster will be helpful. Topics Overview:
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| Introduction to Neural Networks, Convolution Neural Networks and Deep Learning | 4/20/2023 | 2:00 PM EDT - 3:00 PM EDT | Deep learning neural networks have become a prominent tool in science and machine learning. This webinar will provide a brief overview of the main concepts of neural networks and feature discovery. We will also demonstrate the basic convolution neural network for digit recognition using TensorFlow and try to get an intuition about how the network performs and what defines deep learning in practice. We will also review some useful notes on running deep networks on HPCs, such as using tensorboard, notebooks, and batch jobs. |
Past Events
| Title | Date | Time | Description |
|---|---|---|---|
| ACES: Running Jupyter Notebook Using HPRC Portal | 1/31/2023 | 2:30 PM EST | 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/TimeTuesday, January 31, 1:30 PM CST (1 hour) virtually on Zoom. |
| ACES: Using the Slurm Scheduler | 1/31/2023 | 11:00 AM EST - 12:00 PM EST | 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/TimeTuesday, January 31, 10 AM CST (1 hour) virtually on Zoom. |
| ACES: Introduction to FASTER: A Composable Cluster | 1/24/2023 | 2:30 PM EST - 3:30 PM EST | 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/TimeTuesday, January 24, 1:30 PM CST (1 hour) virtually on Zoom. |
| ACES: Introduction to Linux | 1/24/2023 | 11:00 AM EST - 12:00 PM EST | This hour-long primer (an introductory lecture) covers basic topics:
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/TimeTuesday, January 24, 10 AM CST (1 hour) virtually on Zoom. |
| Cybersecurity and Coding for Middle and High School Students | 1/03/2023 | 10:00 AM EST - 5:00 PM EST | Cybersecurity and Coding for Middle and High School StudentsTuesday, January 3, 9 am - 4 pm CST |
| Webinar: Julia on A64FX (Ookami) | 12/08/2022 | 2:00 PM EST - 4:00 PM EST | 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. |
| ACES: Using FPGAs | 11/29/2022 | 2:30 PM EST - 5:00 PM EST | 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 Instructors: Abhinand Nasari and Shaina Le |
| Technology Lab: AI Techniques, Usage - Jupyter Notebook | 11/29/2022 | 11:00 AM EST - 1:30 PM EST | 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). |
| Workflow Automation Tools for Many-Task Computing | 11/09/2022 | 2:00 PM EST - 4:00 PM EST | 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. |
| GPU Programming Using OpenACC | 11/07/2022 | 11:00 AM EST - 5:00 PM EST | 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. |
| Get rewarded to hack unemployment via the Fall 2022 IronHacks Data Science Challenge – If you haven’t registered yet register today and attend live info and tutorial session at 7 pm EST on zoom! | 11/01/2022 | 7:00 PM EDT - 8:30 PM EDT | 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. |
| ACES: Intel AI/ML Training | 11/01/2022 | 10:00 AM EDT - 4:00 PM EDT | 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 |
| Getting Started on NCSA's Delta Supercomputer | 10/27/2022 | 1:00 PM EDT - 2:30 PM EDT | In this webinar, you will learn about NCSA's Delta supercomputer and how to use it for your scientific research. The following topics will be covered: |
| ACES: Intel AI/ML Training | 10/25/2022 | 10:00 AM EDT - 4:00 PM EDT | 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 |
| RCAC and NVIDIA Present - Using GPUs with Python | 9/30/2022 | 1:00 PM EDT - 5:00 PM EDT | Python is the leading language for data science today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools, Numba and CuPy, are presented with examples. A Jupyter notebook is used for hands-on student exercises along with a set of lecture slides. To get the most out of the lecture, students should have a good understanding of Python. |
| XSEDE HPC Workshop: BIG DATA and Machine Learning | 8/30/2022 | 11:00 AM EDT - 5:30 PM EDT | XSEDE, along with the Pittsburgh Supercomputing Center, is pleased to present a two day Big Data and Machine Learning workshop. Due to COVID-19, this workshop will be remote, using Zoom. Register by going to: https://portal.xsede.org/course-calendar |
