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 Data Science Published 02/19/2020
This webinar builds on our previous one, which demonstrated how to use Globus to manage data within the ALCF and beyond. During this webinar, we will cover common data management use cases, like...
Type Slides Topic Data Science Published 02/19/2020
Type Video System Theta System Aurora Published 01/31/2020
Performance tuning is critical for applications in a world where computing cycles are a precious resource. The process of tuning and optimizing a code, however, remains enshrouded in mystery for many...
This webinar will focus on OpenMP 4.5 and 5.0 features and it will consist of 3 segments. In the first part, a review of the fork-join OpenMP programming model will be presented. This review will be...
Type Slides Topic Performance Tools Published 01/29/2020
Extracting optimal performance from your application requires efficient use of your system's microarchitecture and parallelism at core, socket, and node levels. This webinar will focus on how to do...
Type Video Topic Performance Tools Published 01/29/2020
Type Slides System Aurora Published 12/03/2019
This talk will introduce SYCL as a programming model for Aurora, the upcoming Argonne exascale machine. SYCL is a single source heterogeneous programming model based on standard C++. It uses C++...
Type Slides Topic Data Science System Theta Published 11/06/2019
Type Slides Topic Compiling and Linking System Theta Published 11/05/2019
Type Slides Topic Data Science System Theta Published 11/05/2019
Type Video Topic Running Jobs System Theta Published 10/30/2019
This presentation will go into detail on the SYCL programming model, which is at the core of the new oneAPI initiative. Intel is working with the community to evolve the Khronos SYCL language...
Type Slides Topic Running Jobs System Theta Published 10/30/2019
Type Slides Topic Data Science System Theta Published 10/01/2019
Type Video Topic Data Science System Theta Published 09/25/2019
Hyperparameters employed by deep learning methods play a substantial role in the performance and reliability of these methods in practice. Unfortunately, finding performance-optimizing hyperparameter...
Type Slides Topic Data Science System Theta Published 09/25/2019
Type Slides System Theta System Aurora Published 09/04/2019
Running efficient and scalable deep learning applications on leadership computing systems, including future exascale supercomputers, requires good use of popular deep learning frameworks, such as...
Type Video Topic Compiling and Linking Published 08/30/2019
This talk will cover how C++ best practices were used as part of an effort to modernize the Kokkos version of miniQMC (a QMCPACK miniapp designed to enable tests of different programming methodologies...
Type Slides Topic Compiling and Linking Published 08/30/2019
Type Slides Topic Performance Tools System Theta Published 08/26/2019
Type Slides Published 08/16/2019