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[HTML][HTML] CUBENS: A GPU-accelerated high-order solver for wall-bounded flows with non-ideal fluids
We present a massively parallel GPU-accelerated solver for direct numerical simulations of
transitional and turbulent flat-plate boundary layers and channel flows involving fluids in non …
transitional and turbulent flat-plate boundary layers and channel flows involving fluids in non …
The 2DECOMP&FFT library: an update with new CPU/GPU capabilities
The 2DECOMP&FFT library is a software framework written in modern Fortran to build large-
scale parallel applications. It is designed for applications using three-dimensional structured …
scale parallel applications. It is designed for applications using three-dimensional structured …
[HTML][HTML] CaLES: A GPU-accelerated solver for large-eddy simulation of wall-bounded flows
We introduce CaLES, a GPU-accelerated finite-difference solver designed for large-eddy
simulations (LES) of incompressible wall-bounded flows in massively parallel environments …
simulations (LES) of incompressible wall-bounded flows in massively parallel environments …
Differentiable Cosmological Hydrodynamics for Field-Level Inference and High Dimensional Parameter Constraints
Hydrodynamical simulations are the most accurate way to model structure formation in the
universe, but they often involve a large number of astrophysical parameters modeling …
universe, but they often involve a large number of astrophysical parameters modeling …
A pencil-distributed finite-difference solver for extreme-scale calculations of turbulent wall flows at high Reynolds number
We present a computational method for extreme-scale simulations of incompressible
turbulent wall flows at high Reynolds numbers. The numerical algorithm extends a popular …
turbulent wall flows at high Reynolds numbers. The numerical algorithm extends a popular …
WaterLily. jl: A differentiable fluid simulator in Julia with fast heterogeneous execution
Integrating computational fluid dynamics (CFD) software into optimization and machine-
learning frameworks is hampered by the rigidity of classic computational languages and the …
learning frameworks is hampered by the rigidity of classic computational languages and the …
CaNS-Fizzy: A GPU-accelerated finite difference solver for turbulent two-phase flows
CaNS-Fizzy--Fizzy for short--is a GPU-accelerated numerical solver for massively-parallel
Direct Numerical Simulations (DNS) of incompressible two-phase flows. A DNS enables …
Direct Numerical Simulations (DNS) of incompressible two-phase flows. A DNS enables …
Characterization of NCCL and Unified Memory Under Normal and Oversubscribed Memory Conditions
R Strina - 2024 - search.proquest.com
Abstract The NVIDIA Collective Communications Library (NCCL) is a multi-GPU
communication library widely used in applications such as deep learning, molecular …
communication library widely used in applications such as deep learning, molecular …
[PDF][PDF] GPU-Accelerated Atmospheric Large Eddy Simulation
CAA Jungbacker - repository.tudelft.nl
With the completion of this thesis, my time as a student at TU Delft has come to an end.
During my BSc in civil engineering, I developed a passion for fluid dynamics, numerical …
During my BSc in civil engineering, I developed a passion for fluid dynamics, numerical …
[PDF][PDF] Towards Enabling Automatically Differentiable High Performance ComputingForCosmologicalN-bodySimulations
A series of recent works highlighted the potential of so-called full-field cosmological
inference for the analysis of upcoming weak lensing and galaxy clustering surveys, with the …
inference for the analysis of upcoming weak lensing and galaxy clustering surveys, with the …