NSF grant will support supercomputer simulations as they interact with large data sets.
A new way of computing could lead to immediate advances in aerodynamics, climate science, cosmology, materials science and cardiovascular research.
The National Science Foundation will provide $2.42 million to develop a unique facility for refining complex, physics-based computer models with big data techniques at the University of Michigan. The university will provide an additional $1.04 million.
The focal point of the project will be a new computing resource, called ConFlux, which is designed to enable supercomputer simulations to interface with large...