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 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 Video Topic Programming Models System Aurora Published 03/30/2022
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 Getting Started System Sophia Published 01/27/2022
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 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 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 System Theta System Sophia Published 10/07/2021
Ray Loy discusses the next steps following the SDL Workshop.
Riccardo Balin and Filippo Simini discuss Online Learning with SmartSim.
ALCF's Romain Egele and Prasanna Balaprakash discuss Neural Architecture Search (NAS) and Uncertainty Quantification (UQ) with DeepHyper.
ALCF's Sid Raskar provides an overview of Argonne's AI testbeds.
Type Slides System Theta System Sophia Published 10/06/2021
Romain Egele, Prasanna Balaprakash, Misha Salim, and Sam Foreman discuss Distributing Hyperparameter Search (HPS) with DeepHyper.
ALCF's Denis Boyda and Murali Emani discuss Profiling Deep Learning.
Type Video Published 10/05/2021
Type Slides System Theta System Sophia Published 10/05/2021
Introduction to ALCF Simulation, Data, and Learning Workshop.
Zhen Xie discusses deploying and testing DeepSpeed on ThetaGPU.
Type Slides Topic Programming Models System Aurora Published 09/29/2021
