AbstractAMR technique can provide efficient numerical calculation by adapting fine cells to regions where higher numerical resolution is required. However, it is generally difficult for users to implement the AMR technique in their generic simulation programs which use uniform ce lls. For the purpose of carrying out numerical simulations including the AMR technique, we developed a framework for blocked-structured AMR simulation by which we can easily convert a generic uniform-cell simu lation program to the one with the AMR treatment. In this paper we describe the developed framework and show the implementation of a simulation program into the framework by taking a two -dimensional advection simulation as an example
Modern high-resolution numerical simulations of multiscale physical phenomena require enormous compu...
A block-structured adaptive mesh refinement (AMR) technique has been used to obtain numerical soluti...
Abstract. Current AMR simulations require algorithms that are highly parallelized and manage memory ...
AbstractAMR technique can provide efficient numerical calculation by adapting fine cells to regions ...
A spherical 2D Adaptive Mesh Refinement (AMR) technique is applied to the so-called LinRood advectio...
Adaptive mesh refinement (AMR) is a technique used in numerical simulations to automatically refine ...
Adaptive Mesh Renement (AMR) is a technique used in numerical simulations to automatically rene (or ...
A spherical 2D Adaptive Mesh Refinement (AMR) technique is applied to the so-called Lin-Rood advecti...
A patch adaptive mesh refinement (AMR) platform is presented. Presently two Navier-Stokes solvers ar...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
The complexity of physical phenomena often varies substantially over space and time. There can be re...
The local adaptive mesh refinement (AMR) platform written at ONERA by M. Borrel et al. [1],[2],[3], ...
AbstractIn order to e xecute various finite-difference method applications on large-scale parallel c...
The need for highly automated and computationally efficient tools for high fidelity simulation of co...
Abstract. In this work we study the behavior of Block ILU preconditioners in distribuited-memory par...
Modern high-resolution numerical simulations of multiscale physical phenomena require enormous compu...
A block-structured adaptive mesh refinement (AMR) technique has been used to obtain numerical soluti...
Abstract. Current AMR simulations require algorithms that are highly parallelized and manage memory ...
AbstractAMR technique can provide efficient numerical calculation by adapting fine cells to regions ...
A spherical 2D Adaptive Mesh Refinement (AMR) technique is applied to the so-called LinRood advectio...
Adaptive mesh refinement (AMR) is a technique used in numerical simulations to automatically refine ...
Adaptive Mesh Renement (AMR) is a technique used in numerical simulations to automatically rene (or ...
A spherical 2D Adaptive Mesh Refinement (AMR) technique is applied to the so-called Lin-Rood advecti...
A patch adaptive mesh refinement (AMR) platform is presented. Presently two Navier-Stokes solvers ar...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
The complexity of physical phenomena often varies substantially over space and time. There can be re...
The local adaptive mesh refinement (AMR) platform written at ONERA by M. Borrel et al. [1],[2],[3], ...
AbstractIn order to e xecute various finite-difference method applications on large-scale parallel c...
The need for highly automated and computationally efficient tools for high fidelity simulation of co...
Abstract. In this work we study the behavior of Block ILU preconditioners in distribuited-memory par...
Modern high-resolution numerical simulations of multiscale physical phenomena require enormous compu...
A block-structured adaptive mesh refinement (AMR) technique has been used to obtain numerical soluti...
Abstract. Current AMR simulations require algorithms that are highly parallelized and manage memory ...