1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
Differentiable physics-enabled closure modeling for Burgers' turbulence
Varun Shankar, Vedant Puri, Ramesh Balakrishnan +2
Data-driven turbulence modeling is experiencing a surge in interest following algorithmic and hardware developments in the data sciences. We discuss an approach using the different…
IMEXLBM 1.0: A Proxy Application based on the Lattice Boltzmann Method for solving Computational Fluid Dynamic problems on GPUs
Geng Liu, Saumil Patel, Ramesh Balakrishnan +1
The US Department of Energy launched the Exascale Computing Project (ECP) in 2016 as part of a coordinated effort to achieve the next generation of high-performance computing (HPC)…