Solving Multiphysics Problems at Scale on Today’s Most Powerful Supercomputers
Technologies known as the Data Transfer Kit (DTK) and ArborX enable researchers to focus more on their science rather than on low-level algorithms in simulations.
Technologies known as the Data Transfer Kit (DTK) and ArborX enable researchers to focus more on their science rather than on low-level algorithms in simulations.
A collaborative team is working to get NWChem ready to run on exascale machines and to provide a starting point for future code development.
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.
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.
Christian Trott of Sandia National Laboratories shares insights about Kokkos, a programming model for numerous Exascale Computing Project applications.
Synchronized efforts within the Exascale Computing Project are exploring the use of multiprecision algorithms to achieve faster computation and communication.
Researchers involved with an input/output software product describe how it will enable users of high-performance computing systems to roll with the rapid pace of change.
UnifyFS software can provide I/O performance portability for applications, enabling them to use distributed in-system storage and the parallel file sy
The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.
An article on the US Department of Energy website takes a look at the CANcer Distributed Learning Environment, or CANDLE.
The ExaStar project aims to create simulations for comparison with experiments and observations to help answer a variety of questions.
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.
Tom Evans, technical lead for ECP's Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale.
The work of a project team in what is called lattice quantum chromodynamics is a critical complement to experimentation in particle and nuclear physics.
Higher resolution and deeper insight along with much faster information delivery are ways exascale computing could improve imaging at X-ray free-electron laser facilities.
Narrative snapshots in time chronicle highlights of some of the Application Development efforts within ECP.