Argonne’s upcoming exascale supercomputer, Aurora, will leverage several technological innovations to support cutting-edge machine learning and data science workloads alongside more traditional modeling and simulation campaigns.

With help from ALCF supercomputers, scientists created a machine learning model for identifying low-cost catalysts that convert biomass into fuels and useful chemicals with a low carbon footprint.

Join us on March 29 for a webinar that will go into detail about how to apply key Intel architectural innovations and libraries via smart application of NumPy, SciPy, and Pandas techniques to achieve performance gains.

With support from ECP's Broadening Participation Initiative, Argonne is connecting with students to make a more diverse and inclusive environment in high performance computing.

In a new episode of the Exascale Computing Project's podcast, ALCF Director of Science Katherine Riley discusses impactful science, Aurora, and partnering with the ECP.