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 Slides System Aurora | Sunspot Published 05/18/2023
This is the first module in the newest Aurora Learning Paths series - Accelerate Python Loops with the Intel AI Analytics Toolkit. Ignite performance of common Python & pandas constructs by using...
Type Video System Aurora | Sunspot Published 05/18/2023
Type Video Published 05/02/2023
The 2024 INCITE Call for Proposals opens on April 10, 2023, and closes on June 16, 2023. To help you prepare your proposal for submission, the INCITE program is offering an instructional proposal...
Type Slides Published 04/12/2023
This session will be a mini hackathon where you can bring your own CUDA source and try to migrate to SYCL, Intel experts will help and answer any questions you may have about the migration process.
We...
Type Video Topic Data Science System Aurora | Sunspot Published 03/29/2023
Ignite performance of common Python & pandas constructs by using NumPy, SciPy, and Pandas powered by oneAPI. This webinar and workshop series will go into detail about how to apply key Intel...
Type Slides Published 03/15/2023
In this session we will migrate a slightly more complex CUDA source to SYCL source using the SYCLomatic tool.
We will migrate the Jacobi Iterative algorithm from Nvidia CUDA samples to SYCL using...
Type Video Published 03/15/2023
Type Slides Published 03/01/2023
Scientists at Argonne National Laboratory and a variety of other institutions, in collaboration with Intel, are preparing dozens of applications and workflows to run at scale on the Aurora system. The...
Type Slides Published 02/16/2023
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 Video Published 02/15/2023
In this session we will learn about the steps involved in migrating CUDA code to C++ SYCL code using the SYCLomatic tool. We will install SYCLomatic tool on CUDA Development machine and start with...
Type Slides Published 02/15/2023
Type Slides Topic Programming Models System Aurora | Sunspot Published 01/25/2023
SYCL is becoming a de facto standard for vendor agnostic heterogeneous computing. Upgrading CUDA code to standard C++ with SYCL makes the applications portable across a range of existing and evolving...
Type Slides Topic Debugging Tools Topic Performance Tools System Polaris Published 12/07/2022
As long as humans write software, there will be software bugs. And as many computational scientists today are orchestrating thousands of threads across massively parallel GPU systems, debugging and...
Type Video Published 11/09/2022
In this workshop, we will explore Intel(r) Extensions for Scikit-Learn*. See how to leverage optimizations for common machine learning tools in Scikit-Learn. In this hands-on lab, we explore Intel(r)...
Type Video Topic Data Science System Polaris System AI Testbed Published 11/08/2022
This video provides a demo on the ALCF AI testbed and an introduction to the broader toolset of AI methods.
Type Slides Topic Data Science Published 11/01/2022
Trainees will combine data pipeline and parallel training from previous sessions to train a modern classification network on a supercomputer.
Dr. Eliu Huerta will also speak about the work he does at...
Type Video Topic Data Science System Sophia Published 11/01/2022
Type Slides Topic Programming Models System Aurora | Sunspot Published 10/26/2022
Abstract:
Scikit-learn is among the most useful and robust libraries for machine learning, providing a selection of tools for ML and statistical modeling via a consistent interface in Python...
Type Slides Topic Data Science Published 10/25/2022
Type Video Topic Data Science System Sophia Published 10/25/2022
