The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.
The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.
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.
The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
The ALCF Support Center assists users with support requests related to their ALCF projects.
Help Desk Hours: 9:00am-5:00pm CT M-F Email: support@alcf.anl.gov
Access archived presentations and other materials from past ALCF training events below.
Type Video Topic Applications and Libraries Published 05/09/2022
The Argonne Leadership Computing Facility (ALCF) will host a hands-on training session for integrating OpenFOAM with Python. In this virtual workshop, attendees will be instructed on coupling OpenFOAM...
Type Video System Polaris Published 04/27/2022
Type Slides System Polaris Published 04/27/2022
Polaris is ALCF’s latest high performance compute system for the ALCF user community. The HPE Apollo 6500 Gen10+ system is currently the #12 Top 500 supercomputer. It is comprised of 560 nodes, each...
Type Video Topic Applications and Libraries System Aurora Published 04/13/2022
The Data Parallel essentials for Python workshop demonstrates high-performing code targeting Intel XPUs using Python. The talk will introduce basics of Numba and how to write parallel Python programs...
Type Slides Topic Applications and Libraries System Aurora Published 04/13/2022
Type Video System Aurora Published 03/30/2022
In this session, we will cover how Data Parallel Python can be used to develop high-performing code for ALCF's upcoming Aurora supercomputer. The talk will introduce Numba-dppy and show examples of...
Type Slides System Aurora Published 02/23/2022
NVIDIA Developer Tools are available for detailed performance analysis of HPC applications running on NVIDIA A100 systems, such as ALCF's ThetaGPU and NERSC's Perlmutter. Nsight Systems provides...
Type Video System Aurora Published 02/23/2022
NVIDIA Performance Tools for A100 GPU Systems Q&A
Type Slides Published 02/17/2022
The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science...
Type Slides Topic Data Science Topic Running Jobs Topic Performance Tools Topic Account and Project Management System ThetaGPU Published 01/27/2022
Type Video System Aurora Published 01/26/2022
In this webinar, we will cover three main topics to help researchers get started with ThetaGPU: (1) compiling and running, (2) profiling and performance analysis, and (3) AI and frameworks.Topic 1...
Type Slides System Aurora Published 01/12/2022
In this session, we will introduce you to Data Parallel C++ and the importance of performance, portability, and productivity for HPC development. We will set up a Jupyter Lab environment for training...
Type Video System Aurora Published 01/12/2022
In this session, we will introduce you to Data Parallel C++ and the importance of performance, portability, and productivity for HPC development. We will set up a Jupyter Lab environment for...
Type Video System Aurora Published 12/17/2021
The Intel oneAPI DPC++ Library (oneDPL) is a C++ library for creating heterogeneous applications and solutions. It provides high-productivity, portable standard-based APIs implemented on top of perfor...
Type Slides Topic Data Science System Theta System ThetaGPU Published 10/07/2021
ALCF's Bethany Lusch and Riccardo Balin lead a session on integrating AI and simulations.
Type Slides System Theta System ThetaGPU Published 10/07/2021
Katherine Riley discusses Applying for ALCF Allocation Programs.
ALCF's Romain Egele and Prasanna Balaprakash discuss Neural Architecture Search (NAS) and Uncertainty Quantification (UQ) with DeepHyper.
Ray Loy discusses the next steps following the SDL Workshop.