Featured Publication Summaries

Researchers bridge communications gap to enable exascale compute power

Researchers funded by the Exascale Computing Project have demonstrated an alternative to MPI, the de facto communication standard for high-performance computing (HPC), using NVIDIA’s library NVSHMEM to overcome the semantic mismatch between MPI and GPU asynchronous computation to enable the compute power needed for exascale computing.

New EFFIS framework optimizes WDMApp with support for code coupling and application performance monitoring

Researchers working with the nuclear fusion device simulation application WDMApp for the Exascale Computing Project have developed EFFIS, a workflow framework currently used in complex core-edge code coupling problems to automate visualizations of scientific, diagnostic, and performance results using a collaborative web-based dashboard.

Researchers working on ExaSMR advance CFD–neutronics simulation tools

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.

Technical Highlights

ECP Brings Much Needed Visualization Software to Exascale and GPU-Accelerated Systems

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.

Modernizing Workflow Analysis to Assist in Supercomputer Procurements

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.

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