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 Era is here.
New methods maximizing the accuracy, length, and time space on exascale machines could revolutionize molecular dynamics simulations.
Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration’s first exascale supercomputer.
The CANcer Distributed Learning Environment (CANDLE) project provides deep-learning computing methodologies for accelerating cancer research.
June 21 at 2 p.m. Eastern, ECP and the Argonne Leadership Computing Facility will host a Twitter Chat on the Extreme-scale Scientific Software Stack.
The Exascale Computing Project has made available a compilation of brief, high-level presentations about some of its project portfolios.
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.
In the latest episode of the Let's Talk Exascale podcast, John Turner of Oak Ridge National Laboratory provides a look at additive manufacturing and the ExaAM project from different angles.
Machine learning, artificial intelligence, and data analytics are converging with high-performance computing to advance scientific discovery.
Lawrence Livermore National Laboratory and Hewlett Packard Enterprise (HPE) have announced that AMD will be node supplier for the El Capitan supercomputer, and that the system is expected to exceed 2 exaflops.
Hewlett Packard Enterprise (HPE) and AMD have announced that the El Capitan supercomputer, planned for 2023, will have a speed of 2 exaflops to power complex scientific discovery for the US Department of Energy's National Nuclear Security Administration (NNSA).
A newly released report introduces work to advance software productivity and sustainability for extreme-scale computational science.
Gina Tourassi discusses the Oak Ridge National Laboratory effort within the Exascale Deep Learning–Enabled Precision Medicine for Cancer (CANDLE) project.
Productivity Sustainability Improvement Planning enables software developers to identify development bottlenecks and track progress to overcome them.
The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.
Narrative snapshots in time chronicle highlights of some of the Application Development efforts within ECP.
The Ristra project, which is creating a set of codes targeting national-security-relevant multiphysics problems, is making solid progress both in terms of the physics needs and in demonstrating new computer science technologies.
The EXAALT project is working to improve molecular dynamics codes and prepare them to exploit the power and performance of exascale.