America's Department of Energy (DoE) has announced US$39.8 million in funding for the first round of grants in its Exascale Computing Project.
The winners include 15 applications covering 22 projects with 45 research and academic participants.
This round of funding covers modelling and simulation applications “with a focus on portability, usability and scalability,” the DoE's announcement (PDF here) says.
Berkeley Lab leads two projects: in one, it will work on applying the Chombo-Crunch software to exascale environments for geophysical mechanics; in the other, it will be developing exascale modelling of particle accelerators.
Argonne National Lab's major projects cover virtual universe simulations at high fidelity; and deep learning for “precision medicine” for cancer research, based on the CANcer Distributed Learning Environment (Candle).
Fermilab will lead a project developing modelling for nuclear and high-energy physics, while Los Alamos will be looking into materials science.
3D printing – or rather “additive manufacturing” – gets a look-in, as do statistics and data analysis, combustion science, climate modelling, fusion research, and wind power flow modelling.
The DoE notes that energy security, economic security, pure science, climate and environmental science, and healthcare are the focus areas of the ECP.
As well as the fully-funded four-year projects, the DoE's grants also support three-year seed funding for projects in chemistry, urban modelling, stellar explosion models, microbiome analysis, earthquake risk assessments, energy, and stochastic grid dynamics. ®