Fusion Energy Sciences (FES)

Let’s Talk Exascale Code Development: WDMapp—XGC, GENE, GEM

The latest in the code-for-Aurora series explores an app aimed at high-fidelity whole device modeling of magnetically confined fusion plasmas.

Supporting Scientific Discovery and Data Analysis in the Exascale Era

ECP's Data and Visualization portfolio is delivering data management software to store, save state, share, and facilitate the analysis of exascale data.

Collaborative Strength Enables the EXAALT Project to Optimize GPU Performance

The EXAALT project could bring atomistic materials predictions to the engineering scale and demystify materials design and synthesis.

ECP Team Reengineers Materials Simulation Code, Achieves Atypical Performance Increase

The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.

Exascale Computing Could Drastically Boost the Capabilities of Energy Applications

Tom Evans, technical lead for ECP's Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale.

Comprehensive Molecular Dynamics Capability

The EXAALT project is working to improve molecular dynamics codes and prepare them to exploit the power and performance of exascale.

ECP Launches “Let’s Talk Exascale” Podcast Series

The insideHPC blog reports on the new podcast that explores the activities, challenges, accomplishments, and science impact of the Exascale Computing Project.

Extending the Reach of Molecular Dynamics Simulations by Leveraging Exascale

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.

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