2 citations · 2 across the 6 of their papers we have counts for
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RAMSES-GPU: Cell-by-Cell Adaptive Mesh Refinement with Magneto-Hydrodynamics and Self-Gravity on Graphics Processing Units
Romain Teyssier, Eric Moseley, Robert V. Caddy +9
We present the implementation and optimization of the cosmological simulation code RAMSES on Graphics Processing Units (GPUs) using CUDA Fortran. This accelerated version ports the…
A Scalable Fast Multipole Method Poisson Solver for the RAMSES code: II. Adaptive Mesh Refinement and Adaptive Time Stepping
Jun-Young Lee, Romain Teyssier
We present an extended implementation of a scalable, O(N) Poisson solver based on the fast multipole method (FMM), fully compatible with adaptive mesh refinement (AMR) and adaptive…
A Scalable Fast Multipole Method Poisson Solver for the RAMSES code: I. Unigrid Algorithm
Jun-Young Lee, Romain Teyssier
We present a scalable Poisson solver with complexity based on the fast multipole method (FMM) implemented in RAMSES. Our FMM constructs a hierarchy of FMM grids on top of th…
Spectral Difference Method with a Posteriori Limiting: III- Navier-Stokes Equations with Arbitrary High-Order Accuracy
David A. Velasco-Romero, Romain Teyssier
We incorporate an arbitrarily high-order method for the Laplacian operator into the Spectral Difference method (SD). The resulting method is capable of capturing shocks thanks to i…