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Argonne Leadership Computing Facility

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    Leadership Computing Resources

    The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.

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    The ALCF is committed to providing training and outreach opportunities that prepare researchers to efficiently use its leadership computing systems, while also cultivating a diverse and skilled HPC workforce for the future.

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    Accelerating Science

    The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.

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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

The ALCF and Intel are partnering to present a new installment of the Aurora Learning Paths training series focused on using Data Parallel Python to advance application development for our upcoming exascale system.
Aurora Learning Paths

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.
ALCF AI for Science Training Series

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

05/24/2022, 10am CT

Virtual

Type Workshop

2022 ALCF Computational Performance Workshop

2022 Computational Workshop Graphic

05/24/2022, 12 – 1:15pm CT

Virtual

How to be a Great Mentor

ECP

05/25/2022, 11am – 12pm CT

Virtual

Type Webinar

The LLVM/OpenMP Ecosystem – Optimizations, Features and Outlook

  • Johannes Doerfert, Argonne National Laboratory
Developer Session Graphic

05/27/2022, 11am – 12pm CT

Virtual

Type Webinar

Polaris – A Testbed on the Road to Exascale

  • Ti Leggett, ALCF
Argonne selects Altair to turbocharge scientific breakthroughs in the exascale era

06/03/2022, 1pm CT

Virtual

Type Webinar

2023 INCITE Proposal Writing Webinar

2023 INCITE Proposal Webinar Graphic

06/08/2022, 1:30 – 3:30pm CT

Online

Type Webinar
Level Beginner

Module 3: Introduction to K-Means Algorithm and GPairs Algorithm Using Data Parallel Essentials for Python

  • Praveen Kundurthy and Bob Chesebrough, Intel
Module 3

06/14/2022, 10am CT

Virtual

Type Workshop

Aurora COE Workshop #4

Aurora Workshop Logo

06/15/2022, 1 – 2:30pm CT

Virtual

Type Webinar

Normalizing Inclusion by Embracing Difference

ECP

07/19/2022, 9am CT

Virtual

2022 NVIDIA ALCF GPU Hackathon

2022 GPU Hackathon Graphic

05/19/2022, 11am – 12pm CT

Virtual

Type Webinar

Symmetry Breaking by Materials Engineering for Spin-Orbit-Torque Technology

  • Jingsheng Chen, National University of Singapore
Shutterstock Graphic

05/18/2022, 2 – 3pm CT

Virtual

Type Webinar

Scientific Data Science: An Emerging Symbiosis

  • Sam Foreman, Argonne National Laboratory
Shutterstock Data Turbulence Image

05/18/2022, 11am CT

Virtual

Pump Up Your Scaling

  • James Tullos, Intel
Intel

05/18/2022, 10:30 – 11:30am CT

Virtual

Type Webinar

Variational Quantum Algorithms for Nonlinear Problems

  • Michael Lubasch, Cambridge Quantum Computing
Shutterstock Algorithm Graphic

05/18/2022, 10 – 11:30am CT

Virtual

The Future of Computing

Future of Computing Graphic

05/17/2022, 10:30 – 11:30am CT

Virtual

Type Webinar

Automating Chemical Research Toward Autonomous Molecular Design

  • Anne Fischer, Self
Shutterstock Chemistry Graphic

05/17/2022, 10am CT

Virtual

Altair - Future.HPC

Altair Graphic

05/16/2022, 10:30 – 11:30am CT

Virtual

Type Webinar

An Inexact Projected Gradient Method with Rounding and Lifting by Nonlinear Programming for Solving Rank-One Semidefinite Relaxation of Polynomial Optimization

  • Ling Liang, National University of Singapore
Shutterstock Graphic

05/12/2022, 10 – 11am CT

Virtual

Type Webinar

Director of The Artificial Intelligence and Autonomy Innovation Center at MITRE Labs; AI Red Team Leader for the Department of Defense

  • Mikel Rodriguez, MITRE Laboratories
AI stock image

05/11/2022, 1:30 – 3:30pm CT

Online

Type Webinar
Level Beginner

Module 2: Introduction to Pairwise Distance Algorithm and Black-Scholes Using Data Parallel Essentials for Python

  • Praveen Kundurthy and Bob Chesebrough, Intel
Module 3

05/11/2022, 12pm CT

Virtual

Type Webinar

Acquisition and Analysis of Times Series of Satellite Data in the Cloud – Lessons From the Field

ECP

05/11/2022, 11am CT

Virtual

Quickly Debug Data-Centric, Cross-Platform Code

  • Karl Qi, Intel
Intel

05/11/2022, 10:30 – 11:30am CT

Virtual

Type Webinar

Mechanics of Biological Motor Control

  • Ritu Raman, Massachusetts Institute of Technology
Shutterstock Data Image

05/10/2022, 2:30 – 3:30pm CT

Virtual

Type Webinar

Binary Flasks, Computers in Chemistry

  • Raymundo Hernández-Esparza, McMaster University
Shutterstock Chemistry Graphic

05/10/2022, 10am CT

Virtual

Type Webinar

2022 ECP Community BOF Days

ECP

05/09/2022, 10:30 – 11:30pm CT

Virtual

Type Webinar

Modeling and Optimization Strategies for Discretized Differential-Algebraic Systems

  • Robert Parker, Carnegie Mellon University
Shutterstock Fluid Dynamic Graphic

05/04/2022, 2 – 3pm CT

Virtual

Type Webinar

Enabling Multidisciplinary Design Optimization with Dynamical Systems

  • Sicheng He, University of Michigan
Shutterstock Fluid Dynamic Graphic

05/04/2022, 11am CT

Virtual

Ignite Your AI Solutions on CPUs and GPUs

  • Bob Chesebrough, Intel
Intel

05/03/2022, 9am CT

Virtual

Type Webinar

2023 INCITE Proposal Writing Webinar

2023 INCITE Proposal Webinar Graphic

05/02/2022, 10 – 11am CT

Virtual

Type Webinar

Embedding Physics into Deep Learning for Modeling Spatiotemporal Systems

  • Pu Ren, Northeastern University
Shutterstock Physics Graphic
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A DOE Office of Science User Facility

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