Past Events

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop, sponsored by ACCESS.

This workshop will focus on topics including big data analytics and machine learning with Spark, and deep learning using Tensorflow.

PLEASE NOTE THAT THIS WORKSHOP RUNS MONDAY AND WEDNESDAY. THERE IS NO CLASS ON TUESDAY.

This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.  The satellite site list (subject to change) is as follows:

NCSA is hosting a hands-on AI training series comprised of ten sessions to enable researchers to become proficient in using AI techniques on modern supercomputers. This series will be taught by experienced AI practitioners and cover basic, intermediate, and advanced AI topics. Each session will begin at 1 PM (CT) with an approximate duration of 1 hour. Presentation materials and software ready to use on Delta will be provided. All sessions will be recorded and made available for later viewing by registrants on NCSA's HPC-Moodle. 

NCSA is hosting a hands-on AI training series comprised of ten sessions to enable researchers to become proficient in using AI techniques on modern supercomputers. This series will be taught by experienced AI practitioners and cover basic, intermediate, and advanced AI topics. Each session will begin at 1 PM (CT) with an approximate duration of 1 hour. Presentation materials and software ready to use on Delta will be provided. All sessions will be recorded and made available for later viewing by registrants on NCSA's HPC-Moodle. 

Knowledge of Linux is indispensable for using advanced CI. While GUIs are becoming more prevalent, being able to work at the command line interface (CLI) provides the greatest power and flexibility. In this session, we assume that participants are already comfortable with basic Linux operations such as creating, deleting and renaming files, and navigating between directories.

This live webinar is targeted toward researchers with the largest-scale resource needs. Maximize ACCESS Allocations represent the largest-scale opportunities available. Join the ACCESS Allocations team to discuss the required components, review criteria, and other information required to craft a successful Maximize request. 

Maximize requests are accepted from December 15 to January 31. They are reviewed in early March 2024, and successful requests will begin or renew on April 1.
 

Meet with the Open OnDemand project team at this informal monthly meeting! All topics are welcome, and team members will drop into a breakout session with you to cover site-specific issues if needed.

All users of advanced cyberinfrastructure, whether they develop their own software or use 3rd party applications, should understand fundamental parallel computing concepts. In this webinar we cover supercomputer architectures, the differences between threads and processes, implementations of parallelism (e.g., OpenMP and MPI), strong and weak scaling, limitations on scalability (Amdahl’s and Gustafson’s Laws) and benchmarking.

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 on the Open OnDemand website. 

This live webinar is targeted toward researchers with the largest-scale resource needs. Maximize ACCESS Allocations represent the largest-scale opportunities available. Join the ACCESS Allocations team to discuss the required components, review criteria, and other information required to craft a successful Maximize request. 

Maximize requests are accepted from December 15 to January 31. They are reviewed in early March 2024, and successful requests will begin or renew on April 1.

Meet with the Open OnDemand project team at this informal monthly meeting! All topics are welcome, and team members will drop into a breakout session with you to cover site-specific issues if needed.

This virtual seminar will introduce data visualization techniques and tools. Attendees should have some prior knowledge of programming and data analysis. The 90-minute seminar will focus on essential concepts and hands-on experience in data visualization.

Topics Covered:

Interactive computing refers to working with software that accepts input from the user as it runs. This applies not only to business and office applications, such as word processing and spreadsheet software, but HPC use cases involving code development, real-time data exploration and advanced visualizations run across one or more compute nodes. Interactive computing is often used when applications require large memory, have large data sets that are not that practical to download to local devices, need access to higher core counts, or rely on software that is difficult to install.

NCSA is hosting a hands-on AI training series comprised of ten sessions to enable researchers to become proficient in using AI techniques on modern supercomputers. This series will be taught by experienced AI practitioners and cover basic, intermediate, and advanced AI topics. 

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 on the Open OnDemand website. 

Globus will be hosting a virtual office hours on Nov 30th at 10 a.m. CST. This office hours is scheduled to support users who are migrating  from Globus Connect Server v4 to v5. Our team will be available to answer general questions on the transition and migration tooling in advance of the discontinuation of Globus Connect Server v4, which will occur on December 18, 2023.

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. 

Meet with the Open OnDemand project team at this informal monthly meeting! All topics are welcome, and team members will drop into a breakout session with you to cover site-specific issues if needed.

This virtual workshop will cover the Intel AI Analytics Toolkit, oneAPI Data Analytics Library (oneDAL) and the Deep Neural Network Library (oneDNN) as part of the oneAPI training series. Details on each topic are below.

Registration via Teams is required to attend.

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