Over the past several months, ECP’s HI team has been adapting its organizational structure and key personnel to prepare for the next phase of exascale hardware and software integration.
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.
Writer Jeffrey Burt in The Next Platform provides an analysis of the recent interview with Exascale Computing Project Director Doug Kothe.
CODAR, an Exascale Computing Project co-design center, aims to produce an infrastructure for online data analysis and reduction.
ECP's Jonathan Carter of Berkeley Lab, Lois Curfman McIness of Argonne, and Sherry Li of Berkeley Lab are moving to new leadership roles.
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.
An update from the Exascale Computing Project (ECP) gives the latest overview and assessment of ECP Software Technology capabilities and activities for stakeholders and the broader HPC community.
