GAMER is a parallel code that can be run in a multi-GPU cluster system. We demonstrate the accuracy of the code by performing several standard test problems in astrophysics.
REFINE SPLITTING GMSH FENICS PATCH
The computational overhead associated with the data transfer between the CPU and GPU is carefully reduced by utilizing the capability of asynchronous memory copies in GPU, and the computing time of the ghost-zone values for each patch is diminished by overlapping it with the GPU computations. Both solvers have been implemented in GPU, by which hundreds of patches can be advanced in parallel. We adopt a three-dimensional relaxing total variation diminishing scheme for the hydrodynamic solver and a multi-level relaxation scheme for the Poisson solver. The AMR implementation is based on a hierarchy of grid patches with an oct-tree data structure.
We present the newly developed code, GPU-accelerated Adaptive- MEsh-Refinement code (GAMER), which adopts a novel approach in improving the performance of adaptive- mesh-refinement (AMR) astrophysical simulations by a large factor with the use of the graphic processing unit (GPU). GAMER: A GRAPHIC PROCESSING UNIT ACCELERATED ADAPTIVE- MESH-REFINEMENT CODE FOR ASTROPHYSICS An approximate factor of three in memory and performance improvements over comparable resolution non-adaptive calculations has-been demonstrated for a number of problems The code is designed to run on serial, multiprocessor and massive parallel platforms. The adaptivity is block-based with refinement and unrefinement occurring in an isotropic 2:1 manner.
This paper reports progress on implementing a new capability of adaptive mesh refinement into the Eulerian multimaterial shock- physics code CTH. International Nuclear Information System (INIS)
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