NIAC adds its influence to Exascale Computing Projects

The national Exascale Computing Project, known as ECP, recently announced its first round of application development awards. Notably, staff from Northwest Institute for Advanced Computing will have leading roles in several projects, including:

NWChemEx: Tackling Chemical, Materials and Biomolecular Challenges in the Exascale Era.

Thom Dunning

Selected as a fully funded, four-year project, NWChemEx will enhance the popular computational chemistry code, NWChem, to dramatically improve its scalability, performance, extensibility, and portability to take full advantage of exascale computing technologies. Thom Dunning, a Battelle Fellow with NIAC, is NWChemEx’s Project Director. He will lead a team that includes computational chemists, computer scientists, and applied mathematicians from Ames, Argonne, Brookhaven, Lawrence Berkeley, Oak Ridge, and Pacific Northwest national laboratories, as well as Virginia Tech and the Environmental Molecular Sciences Laboratory NWChem Software Group.

Multiscale Coupled Urban Systems.

John Feo

NIAC Co-Director John Feo will spearhead PNNL’s contributions to this multi-laboratory, seed-funded ECP project, subtitled "Utilizing Exascale Systems to build the Metropolitan Systems Energy and Economic Dynamics (Metro-SEED) Framework." The team, lead by ANL with LBNL, ORNL, PNNL, and National Renewable Energy Laboratory, will work toward developing an integrated, multi-sector simulation platform for modeling urban and natural systems, including building energy, transportation, land use, economics, power utilities, and climate.

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About NIAC

Founded jointly by PNNL and the University of Washington in 2013, NIAC is both a physical and “virtual” collaborative center designed to maximize the impact of computing on transformative discoveries that fuel scientific and societal progress. NIAC seeks to advance the use of computing in discovery and a broad range of application areas with a primary focus on: Advanced and Future Computing Systems; Scalable Modeling, Simulation and Design; and Data-driven Science and Discovery.