Earth and Space Science Applications Simulate Elusive Phenomena to Confirm Observations
Exascale Computing Project Earth and Space Science teams are producing sophisticated tools for large-scale scientific discoveries.
Exascale Computing Project Earth and Space Science teams are producing sophisticated tools for large-scale scientific discoveries.
A newly released report introduces work to advance software productivity and sustainability for extreme-scale computational science.
A collaborative team is working to get NWChem ready to run on exascale machines and to provide a starting point for future code development.
Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing.
Kathy Yelick and Lenny Oliker of Lawrence Berkeley National Laboratory explain why understanding microbial communities is so important.
Gina Tourassi discusses the Oak Ridge National Laboratory effort within the Exascale Deep Learning–Enabled Precision Medicine for Cancer (CANDLE) project.
The ExaSky project conducts extreme-scale simulations to further our understanding of the makeup and evolution of the universe.
For assistance in managing and accessing their increasingly large and complex datasets, researchers at BP are working with Oak Ridge National Lab's experts.
Productivity Sustainability Improvement Planning enables software developers to identify development bottlenecks and track progress to overcome them.
Ensuring speedup for exascale, managing dependencies and versions, and fostering great collaborative communication are key in deploying ECP software.
The Let's Talk Exascale podcast looks at the xSDK4ECP and hypre projects with Ulrike Meier Yang of Lawrence Livermore National Laboratory.