Let’s Talk Exascale: The Why Behind HPC-class Scientific Simulations

This episode of the Let’s Talk Exascale podcast, produced by the U.S. Department of Energy’s Exascale Computing Project, features a discussion between ECP host Scott Gibson and Bronson Messer, who offers insights on computer modeling and simulation for advancing science. Messer is a distinguished scientist and director of science at the Oak Ridge Leadership Computing […]

DOE Funds $16M for Scientific ML Research

Sept. 9, 2021 — Today, the U.S. Department of Energy (DOE) announced $16 million for five collaborative research projects to develop artificial intelligence (AI) and machine learning (ML) algorithms for enabling scientific insights and discoveries from data generated by computational simulations, experiments, and observations. The research projects range from single Principal Investigator (PI) to multi-PI, […]

How Machine Learning Is Revolutionizing HPC Simulations

Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate machine learning models,” the topic was a focal point in a keynote on Tuesday at the International Conference on Parallel Processing by Argonne National Lab’s Rick Stevens. Stevens, ANL’s […]