EQSIM and RAJA: Enabling Exascale Predictions of Earthquake Effects on Critical Infrastructure
Scientists can combine high-performance computing with geophysical and seismographic data from past events to simulate the physics of earthquakes
Scientists can combine high-performance computing with geophysical and seismographic data from past events to simulate the physics of earthquakes
The Center for Efficient Exascale Discretizations (CEED) recently released version 4.1 of its MFEM finite element library, which introduces features important for the nation’s first exascale supercomputers.
The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.
ECP has assembled a team of experts to prepare simulation software to find, predict, and control materials and properties at the quantum level.
ECP's Center for Efficient Exascale Discretizations is helping applications leverage future architectures by developing state-of-the-art discretization algorithms that better exploit the hardware and deliver a significant performance gain over conventional methods.
ECP's Exa-PAPI project is developing a new performance application programming interface, named PAPI++, by taking advantage of modern C++ programming
The hypre project is delivering scalable performance on massively parallel computer architectures to positively impact a variety of applications that
Narrative snapshots in time chronicle highlights of some of the Application Development efforts within ECP.
The EXAALT project is working to improve molecular dynamics codes and prepare them to exploit the power and performance of exascale.
An ECP effort is developing a tool that will leverage future exascale supercomputers to enhance a new technology for carbon capture and storage.
ECP's ExaWind project aims to advance the fundamental comprehension of whole wind plant performance. The ExaWind team recently performed a turbine sim
ECP's AMReX Co-Design Center makes available a state-of-the-art AMR infrastructure with the functionality that five ECP application projects and other
Collaboration is key to the success of ECP.
The objective of the Software for Linear Algebra Targeting Exascale (SLATE) project is to provide basic dense matrix operations in support of ECP's efforts to build a capable exascale computing ecosystem. Jakub Kurzak of the University of Tennessee and SLATE shares insights about the project.
Early access to the hardware components of the approaching Summit supercomputer reveals the achievable level of performance improvement for ExaSMR’s Monte Carlo radiation transport solver.