EXAALT and Kokkos: Making Exascale Simulations of Material Behavior a “SNAP”
Molecular dynamics has become a cornerstone of computational science and is a key component of developing materials with enhanced properties.
Molecular dynamics has become a cornerstone of computational science and is a key component of developing materials with enhanced properties.
The Exascale Computing Project's CANDLE application will improve cancer research techniques and clinical outcomes
Scientists can combine high-performance computing with geophysical and seismographic data from past events to simulate the physics of earthquakes
The Exascale Era is here.
Exascale Meets Particle Accelerators
Exascale supercomputers will play a pivotal role in creating highly accurate computer simulations of the universe.
A robust application suite for modeling complex combustion processes informs next-generation engine design.
Optimized for exascale supercomputers, the ExaSMR simulation toolkit advances state-of-the-art nuclear reactor design.
ExaFEL will enable quicker analysis of data from SLAC’s x-ray laser to help understand everything from viruses to materials.
Researchers have developed a multiscale modeling framework to refine cloud renderings in E3SM climate simulations on GPU-accelerated machines.
The Exascale Computing Project milestone report summarizes the status of all 30 ECP Application Development subprojects at the end of FY20.
Al Geist on the history of the Exascale Computing Project
The latest in the code-for-Aurora series explores an app aimed at high-fidelity whole device modeling of magnetically confined fusion plasmas.
ExaGraph aims to leave a lasting legacy of algorithms, implementations, and graph-enabled applications for scientific discovery.
The Exascale Computing Project has made available a compilation of brief, high-level presentations about some of its project portfolios.
The Exascale Computing Project is building scientific instruments for the gamut of computing devices to advance scientific knowledge and materials design and energy generation.
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.
Jordan Musser of the National Energy Technology Laboratory and ECP is among more than 300 early-career researchers to earn a White House award.
Tom Evans, technical lead for ECP's Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale.