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.
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.
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).
The Center for Efficient Exascale Discretizations (CEED) is a hub for high-order mathematical methods to increase application efficiency and performance.
Gina Tourassi discusses the Oak Ridge National Laboratory effort within the Exascale Deep Learning–Enabled Precision Medicine for Cancer (CANDLE) project.
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.
A Q&A from the social network and blogging platform for technical professionals called Built In shares insights from three experts on exascale, the next goal for supercomputing.
Cray will build El Capitan, the first exascale supercomputer for the National Nuclear Security Administration and Lawrence Livermore National Laboratory.
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.