CaLES: A GPU-accelerated solver for large-eddy simulation of
wall-bounded flows
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. Built upon the existing direct numerical simulation (DNS) solver CaNS, CaLES relies on low-storage, third-order Runge-Kutta schemes for temporal discretization, with the option to treat viscous terms via an implicit …