14 citations · 16 across the 9 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…
cs.LG2022
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning
Minseok Ryu, Youngdae Kim, Kibaek Kim +1
Federated learning (FL) enables training models at different sites and updating the weights from the training instead of transferring data to a central location and training as in…