Aurora Performance Highlights

With Aurora fully assembled, early science team members began running and optimizing their applications to prepare the system for open access. Here are some early performance results on Aurora.


A Large-Scale Foundation Model for Advancing Science: AuroraGPT

PI: Rick Stevens, Argonne National Laboraotory

Cooperative Caching Layer for Scalable Parallel Data Movement in Exascale Supercomputing: Copper

PI: Venkat Vishwanath, Argonne National Laboratory

Extreme-Scale Visualization and Analysis of Fluid-Structure Interactions: HARVEY

PI: Amanda Randles, Duke University

Machine Learning-Guided Computational Fluid Dynamics at Extreme Scales

PI: Kenneth Jansen, University of Colorado

Reverse Monte-Carlo Radiative Ray Tracing Calculations at Scale: Uintah

PI: Martin Berzins, The University of Utah