Training and Events

From hands-on workshops to interactive webinars, we host a variety of events designed to educate our users on the tools, systems, and frameworks that are available to accelerate their scientific computing projects.

Aurora Learning Paths: Intel Extensions of Scikit-learn to Accelerate Machine Learning Frameworks

Solution Architect Bob Chesebrough, will showcase the Intel® Extension for Scikit-learn and how to use it to speed up on CPUs, with only a few lines of code, many Scikit-learn standard ML algorithms such as kmeans, dbscan, and pca.
Intel Sci-Kit Learn Learning Path Series

Aurora Early Adopter Series

This ongoing webinar series is designed to help researchers and developers ramp up their efforts to optimize applications for the ALCF’s upcoming exascale system.
Aurora Early Adopter Series

ALCF AI for Science Training Series

Aimed at undergraduate and graduate students, this weekly training series is designed to teach attendees the fundamentals of using supercomputers to advance the use of AI for research.
Intro to AI-driven Science

ALCF Developer Sessions

This monthly series is aimed at increasing the dialogue between ALCF users and the developers of leadership-class systems and software.
ALCF Dev Sessions
Upcoming
Past

12/05/2022, 11am – 12pm CT

Virtual

Type Webinar

High-Performance Computing in Computational Proteomics

  • Muhammad Haseeb, Florida International University
LCF-Seminar-12052022

11/30/2022, 11am – 12pm CT

Virtual

Type Webinar

Debugging GPU-Accelerated Applications with NVIDIA Developer Tools

  • Andrew Gontarek, NVIDIA
November 2022 Developer Session Graphic

11/30/2022, 11am – 12pm CT

Virtual

Type Webinar

Resource Contention Aware Performance-Energy Tradeoff in Chip Multiprocessors

  • Solomon Bekele, Ethiopian Defence University
LCF-Seminar-11302022

11/23/2022, 10 – 11am CT

Virtual

Type Webinar

Validation, Bias-Reduction through Satellite Fusion & Estimation of Long-term Variability in 22-Year-Long Cloud-Top Height Record from Terra MODIS & MISR

  • Arka Mitra, University of Illinois Urbana-Champaign
EVS-Seminar-1110202210

11/18/2022, 12 – 1pm CT

Type Webinar

Lab Notebooks for Computational Mathematics, Sciences & Engineering

  • Jared O’Neal, Argonne National Laboratory
ECP Logo

11/10/2022, 3 – 4pm CT

Hybrid, Bldg. 240, Room 1501

Type Webinar

BSC, MareNostrum and its Data Center

  • Sergi Girona, Barcelona Supercomputing
CELS-11092022 Graphic

11/09/2022, 1:30 – 3:30pm CT

Online videoconference

Type Webinar

Essentials of Intel Extensions for Scikit-Learn Part 1: CPU Focus

  • Bob Chesebrough, Intel Solution Architect
Sci-kit Learn CPU focus

11/09/2022, 12 – 1pm CT

Virtual

Type Webinar

Managing Academic Software Development

  • Sam Mangham, University of Southhampton
ECP

11/08/2022, 3 – 5pm CT

Zoom
Online Webinar

Type Webinar

Advanced AI Architectures and Methods

  • Venkatram Vishwanath, ALCF
  • Bethany Lusch, ALCF
  • Carlo Graziani, Argonne National Laboratory
  • Álvaro Vázquez-Mayagoitia, ALCF
STS Vishwanath Session Graphic

11/02/2022, 11am CT

446 Auditorium

Type Webinar

High Resolution Diffraction and Non-Standard Electron Density Models in Macromolecular Crystallography – Is It Worth the Toil?

  • Maciej Kubicki, Adam Mickiewicz University in Poland
SBC Seminar Graphic

11/01/2022, 3 – 5pm CT

Zoom
Online Webinar

Type Webinar

Running Large Scale Training on a Supercomputer

  • Sam Foreman, ALCF
  • Eliu Huerta, Argonne National Laboratory
STS Foreman Session Graphic

10/28/2022, 10 – 10:30am CT

Virtual

Type Webinar

Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs?

  • Yafan Huang, University of Iowa
MCS Seminar Graphic

10/26/2022, 11am CT

Rev Up End-to-End AI Pipelines with Intel-Optimized Python Libraries

  • Roy Allela, Intel
Intel Logo Blue

10/26/2022, 11am – 12pm CT

Virtual

Intro to Intel Extensions of Scikit-learn to Accelerate Machine Learning Frameworks

  • Bob Chesebrough, Intel Solution Architect
Aurora-Early-Adopter_2022-October Graphic

10/25/2022, 3 – 5pm CT

Zoom
Online Webinar

Type Webinar

Supercomputers and Parallel AI Training

  • Huihuo Zheng , ALCF
  • Marieme Ngom, Argonne National Laboratory
STS Zheng Session

10/25/2022, 12 – 1:15pm CT

Virtual

Type Webinar

Black Lives Count: Toward Accountability in Efforts to Diversify Computing

  • Damian Rouson, Lawrence Berkeley National Laboratory
ECP

10/24/2022, 2:09pm CT

Virtual

Type Webinar

Deisa: Dask-Enabled In Situ Analytics

  • Amal Gueroudji, Alternative Energies and Atomic Energy Commission
MCS Seminar Graphic

10/19/2022, 11am CT

Push the Boundaries of Visualization with the Latest Rendering Kit Advances

  • Roberto Colmenarejo, Intel
Intel

10/18/2022, 3 – 5pm CT

Zoom
Online Webinar

Type Webinar

Handling Data During AI Training

  • Taylor Childers, ALCF
  • Riccardo Balin, ALCF
STS Childers Session Graphic

10/13/2022, 2 – 3pm CT

Virtual

Type Webinar

Carbonyl Sulfide Fluxes Trace Ecosystem Stomatal Conductance Dynamics

  • Max Berkelhammer, University of Illinois Chicago
EVS Seminar Graphic