Argonne
Leadership
Computing
Facility

2023
Annual
Report

Researchers from the University of Dayton Research Institute and the Air Force Research Laboratory are using ALCF supercomputers to shed light on the complex thermal environment that hypersonic vehicles encounter. This image shows the contour of gas velocity along an experimental test article. Image: ALCF Visualization and Data Analytics Team, Air Force Research Laboratory, and University of Dayton Research Institute

Features

Bringing Aurora Online

The ALCF made significant progress in deploying its exascale supercomputer in 2023, completing the hardware installation, registering early performance numbers, and supporting early science teams’ initial runs on the system.

Aurora Performance Highlights

Now that Aurora is fully assembled, ECP and ESP team members are beginning to transition their work to the supercomputer to ready their applications for full system runs. Here are some early performance results on Aurora.

Integrating Supercomputers with Experiments

With Argonne’s Nexus effort, the ALCF continues to build off its long history of developing tools and capabilities to accelerate data-intensive science via an Integrated Research Infrastructure.

ALCF Continues to Expand AI Testbed Systems Deployed for Open Science

The ALCF’s testbed of AI accelerators is enabling the research community to advance the use of AI for data-intensive science.

ALCF Retires Theta Supercomputer

Theta’s retirement marks the end of a productive run of enabling groundbreaking research across diverse fields, including materials discovery, supernova simulations, and AI for science.

Science Highlights

In 2023, scientists from across the world used ALCF supercomputing and AI resources to accelerate discovery and innovation across a wide range of research areas. The following science highlights detail some of the groundbreaking research campaigns carried out by ALCF users over the past year.

Insights

Argonne physicist Walter Hopkins discusses the importance of Aurora for extracting more information from particle physics experiments. Credit: Argonne National Laboratory
Argonne cosmologist Katrin Heitmann discusses how Aurora will help scientists search for dark energy and improve our understanding of the cosmos. Credit: Argonne National Laboratory
Argonne neuroscientist Bobby Kasthuri and computational scientist Nicola Ferrier discuss how Aurora and the upgraded APS will improve our understanding of the structure and function of the human brain. Credit: Argonne National Laboratory

Table of Contents

Year in Review

Features

Growing the HPC Community

Expertise and Resources

Science