Argonne Leadership Computing Facility

Argonne National Laboratory's Aurora exascale supercomputer is now in production! To get ready to use the system, join our March 26 webinar for an overview of its hardware, available programming models, and the wide range of science applications running on its GPU-accelerated architecture. Learn how initial project teams are approaching programming and portability for Aurora, with project workflows that include numerical methods, AI models for training and inference loads, and a variety of programming approaches. ? Register here: https://lnkd.in/gSwcgDEg

Housed at the Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy Office of Science #userfacility, the Aurora #supercomputer gives the global science community a powerful new research tool with unprecedented abilities for simulations, #AI, and #data analysis. Built in partnership with Intel Corporation and Hewlett Packard Enterprise (HPE), it is ranked as the fastest supercomputer in the world for AI capabilities, powering breakthroughs in #science and engineering, driving advances in #technology, and boosting the nation’s #innovation infrastructure. In this video, Katherine Riley, ALCF Director of Science, explores how Aurora’s cutting-edge capabilities in AI and advanced computing are accelerating the pace of discovery. Learn how this revolutionary supercomputer is powering new solutions to some of the toughest scientific challenges of our time. Learn more about Aurora ?? https://lnkd.in/gExKTAQn https://lnkd.in/gSKr4PwM

Last chance to apply! The deadline for the 2025 Argonne Training Program on Extreme-Scale Computing is March 16: https://lnkd.in/ekp85fd Don’t miss this opportunity to gain hands-on experience with HPC hardware, programming models, scientific machine learning, and more. Hosted by Argonne National Laboratory, ATPESC 2025 will be held July 27–August 8, offering immersive training on the key skills and tools needed to use the world’s most powerful supercomputers for science.

With more than 60,000 GPUs, ALCF's Aurora supercomputer is a powerful tool for advancing AI-driven science. Among the first projects using the system, Argonne National Laboratory's Rick Stevens is leading the AuroraGPT effort to develop science-oriented foundation models that integrate AI more deeply into research workflows to accelerate discoveries across various disciplines. https://auroragpt.anl.gov/

Learn how to get your applications up and running on Aurora, Argonne National Laboratory's exascale supercomputer, with videos from our recent Getting Started on Aurora Bootcamp. Sessions cover best practices for running and compiling jobs, debugging and profiling tools, AI frameworks, and more. https://lnkd.in/ddvUNZce

In this Q&A, ALCF's Nevin ?Liber? discusses his role in advancing C++ and SYCL standards, ensuring scientific computing codes run efficiently on diverse HPC architectures, including Argonne National Laboratory's Aurora exascale supercomputer "In the end, it’s all about providing reliable, efficient tools so that scientists can focus on science, not the nuances involved in running their codes on different machines." https://lnkd.in/g9C7TUXQ

The 2026 INCITE call for proposals opens next month. If you’re interested in applying for access to Argonne National Laboratory's Aurora and Polaris supercomputers, join us May 20-22, 2025, for the ALCF INCITE GPU Hackathon. Register by March 31 for an opportunity to work with ALCF and industry experts to boost code performance on our systems in preparation for the INCITE call. For application details, visit: https://lnkd.in/dYdDnGs8

Do you want to learn how to design, implement, and execute computational science and engineering applications on current and future high-end computing systems? Apply now to attend the Argonne National Laboratory Training Program on Extreme-Scale Computing: https://lnkd.in/ekp85fd

With a new INCITE project, scientists are leveraging the ALCF’s Polaris and Aurora supercomputers to carry out innovative AI-driven research to track the evolution of viruses. Led by Argonne National Laboratory's Arvind R., the team is developing and applying scalable genome-scale language models (GenSLMs) that help predict the emergence of infectious diseases and strengthen public health preparedness. https://lnkd.in/eRR5s5dk

There's still time to apply for the 2025 Argonne Training Program on Extreme-Scale Computing! The application deadline has been extended to March 16, 2025: https://lnkd.in/ekp85fd Don't miss out on a unique opportunity to learn the skills and tools needed to use the world's most powerful supercomputers for scientific research. Hosted by Argonne National Laboratory, ATPESC offers an immersive, hands-on training experience covering everything from HPC hardware and programming models to AI and data processing. This year's program will be held July 27–August 8, 2025.