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.
Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration’s first exascale supercomputer.
A robust application suite for modeling complex combustion processes informs next-generation engine design.
The QMCPACK project intends to provide the capability to find, predict, and control materials and properties at the quantum level.
Researchers have developed a multiscale modeling framework to refine cloud renderings in E3SM climate simulations on GPU-accelerated machines.
Trilinos, a federated group of software packages with guiding principles, offers much autonomy in solving engineering and science problems.
ExaGraph aims to leave a lasting legacy of algorithms, implementations, and graph-enabled applications for scientific discovery.
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.
The Exascale Computing Project's software engineers and computer scientists are building a pyramid—a software stack—that will support exascale's full processing power.
Jacqueline Chen, who leads the ECP Combustion-Pele subproject, has been selected by the US Department of Energy's Office of Science as a distinguished scientist fellow—one of only eight researchers in the nation to hold the distinction.
Members of the Exascale Computing Project leadership team summarize the state of the project and delve into the major accomplishments.
By exploiting the power and performance advantages of GPUs and exascale computing, researchers aim to better predict changes to Earth’s water cycles.
Writer Jennifer Huber of NERSC delves into ExaWind's science challenge problem, its use of the computational code called Nalu-Wind, and its collaboration.
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.
Productivity Sustainability Improvement Planning enables software developers to identify development bottlenecks and track progress to overcome them.