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 Theta System ThetaGPU Published 10/07/2021
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.
ALCF's Sid Raskar provides an overview of Argonne's AI testbeds.
Type Slides System Theta System ThetaGPU Published 10/06/2021
ALCF's Denis Boyda and Murali Emani discuss Profiling Deep Learning.
Romain Egele, Prasanna Balaprakash, Misha Salim, and Sam Foreman discuss Distributing Hyperparameter Search (HPS) with DeepHyper.
Type Slides System Theta System ThetaGPU Published 10/05/2021
Zhen Xie discusses deploying and testing DeepSpeed on ThetaGPU.
Type Slides Topic general System Theta System ThetaGPU Published 10/05/2021
Introduction to ALCF Simulation, Data, and Learning Workshop.
Type Slides Published 09/29/2021
In this session, we will present an OpenACC to OpenMP migration tool that can be used to prepare applications for ALCF’s upcoming Aurora supercomputer. OpenACC and OpenMP are two language programming...
Type Slides System Aurora Published 08/26/2021
This session will present the use of NsightCompute for analyzing the performance of individual GPU kernels on NVIDIA GPUs. We will walk through some simple compute kernels which are compute-bound and...
Type Slides Published 07/28/2021
The NVIDIA Ampere A100 GPU, which powers the ALCF's ThetaGPU system and NERSC's Perlmutter system, builds on the excellent performance of the NVIDIA V100 GPU and includes several new features for both...
Type Slides System Aurora Published 07/28/2021
The NVIDIA Ampere A100 GPU builds on the excellent performance of the NVIDIA V100 GPU and includes several new features for both HPC and deep learning. Particularly, tensor cores have been improved...
Type Slides System Theta System ThetaGPU Published 05/21/2021
Type Slides System Theta System ThetaGPU System Cooley Published 05/07/2021
Type Slides System Theta System ThetaGPU Published 05/07/2021
Type Slides Topic data science System Theta System ThetaGPU System Cooley Published 05/07/2021
Type Slides Topic data science System Theta System ThetaGPU Published 05/07/2021
