Flexible Package Manager Automates the Deployment of Software on Supercomputers
Spack (Supercomputer PACKage manager) is an R&D 100–Award winner because of its worldwide impact on high-performance computing.
Spack (Supercomputer PACKage manager) is an R&D 100–Award winner because of its worldwide impact on high-performance computing.
The ZFP software development effort is tackling the critical task of overcoming the performance cost of data movement for exascale computing.
The WarpX project is developing an exascale application for plasma accelerator research that will pave the way for new breeds of virtual experiments.
Machine learning, artificial intelligence, and data analytics are converging with high-performance computing to advance scientific discovery.
LLVM within the US Department of Energy’s Exascale Computing Project is an open-source collaboration project that develops a compiler infrastructure.
The Center for Efficient Exascale Discretizations (CEED) is a hub for high-order mathematical methods to increase application efficiency and performance.
The Extreme-scale Scientific Software Stack (E4S) lowers barriers by accelerating the development, deployment, and use of software.
CODAR, an Exascale Computing Project co-design center, aims to produce an infrastructure for online data analysis and reduction.
Disciplined and tailored project management led to very impressive results for the Exascale Computing Project in the most comprehensive independent re
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.
Exascale Computing Project Earth and Space Science teams are producing sophisticated tools for large-scale scientific discoveries.
A collaborative team is working to get NWChem ready to run on exascale machines and to provide a starting point for future code development.
Kathy Yelick and Lenny Oliker of Lawrence Berkeley National Laboratory explain why understanding microbial communities is so important.
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.