HOT FUSION: EXASCALE COMPUTING DRIVES EARTHLY EFFORTS TO PRODUCE THE ENERGY THAT POWERS THE SUN
Exascale to Model Fusion Energy
Exascale to Model Fusion Energy
An Exascale Computing Project team is getting the longtime open-source PETSc/TAO software suite ready to support exascale applications.
The latest in the code-for-Aurora series explores an app aimed at high-fidelity whole device modeling of magnetically confined fusion plasmas.
ECP's Data and Visualization portfolio is delivering data management software to store, save state, share, and facilitate the analysis of exascale data.
The EXAALT project could bring atomistic materials predictions to the engineering scale and demystify materials design and synthesis.
The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.
Tom Evans, technical lead for ECP's Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale.
The EXAALT project is working to improve molecular dynamics codes and prepare them to exploit the power and performance of exascale.
The insideHPC blog reports on the new podcast that explores the activities, challenges, accomplishments, and science impact of the Exascale Computing Project.
Danny Perez of Los Alamos National Laboratory (LANL) spoke with ECP Communications at SC17 in Denver. Perez is a member of the Exascale Atomistic Capability for Accuracy, Length, and Time (EXAALT) project team, led by Principal Investigator Arthur Voter, also of LANL.