The National Science Foundation awarded a $346,983 Project Grant to the University of Connecticut (UConn) under the NSF's Engineering program (CFDA 47.041) to develop scalable deterministic global optimization (DGO) algorithms and open-source software. The project aims to enable the solution of higher complexity models involving nonlinear equations by exploiting parallel computing architectures like graphical processing units (GPUs). The research will generate methods for automatically generating relaxations and subgradients of nonconvex functions, as well as a scalable parallel DGO algorithm and software implementation. The project will also integrate educational activities to train a diverse student cohort in computational thinking and optimization-based approaches. This award supports UConn's expertise in areas like engineering, advanced computational methods, and scientific software development to advance these technical capabilities. The project performance period runs from Mar 1, 2024 to Feb 28, 2027.
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