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20162022
most citedA scalable space-time domain decomposition approach for solving large-scale nonlinear regularized inverse ill-posed problems in 4D variational data assimilation

8 citations · 10 across the 4 of their papers we have counts for

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cs.CE2022

GPU-Accelerated DNS of Compressible Turbulent Flows

Youngdae Kim, Debojyoti Ghosh, Emil M. Constantinescu +1

This paper explores strategies to transform an existing CPU-based high-performance computational fluid dynamics solver, HyPar, for compressible flow simulations on emerging exascal…

math.NA2022★ 8 cited

A scalable space-time domain decomposition approach for solving large-scale nonlinear regularized inverse ill-posed problems in 4D variational data assimilation

Luisa D'Amore. Emil Constantinescu, Luisa Carracciuolo

We develop innovative algorithms for solving the strong-constraint formulation of four-dimensional variational data assimilation in large-scale applications. We present a space-tim…