Featured Publication Summaries
Scientists working on the Exascale Computing Project’s ExaSMR project have developed a comprehensive simulation framework targeting the entire small modular reactor (SMR) core, resolving foreseeable roadblocks to scaling up coupled simulations to the full core, such as the reduced order modeling of spacer grids and mixing vanes.
The ExaStar project is developing a software ecosystem for exascale architectures that will support world-leading models of the mechanisms and observable consequences of a variety of stellar cataclysms.
The Exascale Computing Project’s (ECP’s) Co-design Center for Particle Applications (CoPA) aims to prepare particle applications for exascale computing.
The development of the VTK-m toolkit, a scientific visualization toolkit for emerging architectures, is a critical advancement in support of scientific visualization on exascale and GPU-accelerated systems for high-performance computing (HPC) users. VTK-m is needed because—counterintuitively—GPUs currently have software challenges when supporting large-scale scientific visualization tasks.
EXAALT Addresses the Accuracy, Length, and Time (ALT) Simulation Challenges So Scientists Can Study Longer Term Molecular Dynamic Behavior
The Exascale Atomistics for Accuracy, Length, and Time (EXAALT) project is an application development effort within the Exascale Computing Project’s (ECP) chemistry and materials portfolio. Its mission goal is to give scientists the ability to model the dynamics of systems of atoms over longer periods of time compared to the lengths of time they can study using current, standard methods – even when the standard methods are running at scale on large leadership-class supercomputers.
The goal of the Exascale Computing Project (ECP) hardware evaluation (HE) group is to modernize the metrics and predictive analysis to guide US Department of Energy (DOE) supercomputer procurements.