We present a parallel adaptive mesh refinement method with unstructured connectivity. The AMR package is being developed as an open-source project to support immersed boundary flow simulations around complex geometry. In the current work, we explain the parallel implementation of 2:1 balanced implicit-octree generation. A Cartesian processor topology is used to generate the initial mesh for a given geometry. Each processor then constructs its own local tree. One-sided communication features of the MPI-II library is used to carry out the information exchange with other processors. Several complex geometries are used to demonstrate the versatility of the AMR package
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present a parallel adaptive mesh refinement method with unstructured connectivity. The AMR packag...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
Adaptive mesh refinement computations are complicated by their dynamic nature. In the serial environ...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
In this paper we study adaptive mesh refinement (AMR) for elliptic and hyperbolic systems. We use th...
Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applicati...
Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applicati...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present a parallel adaptive mesh refinement method with unstructured connectivity. The AMR packag...
AbstractIn this paper a parallel adaptive mesh refinement for LES simulation of turbulent flows is p...
Adaptive mesh refinement computations are complicated by their dynamic nature. In the serial environ...
In this paper, we present an approach for a patch-based adaptive mesh refinement (AMR) for multi-phy...
In this paper we study adaptive mesh refinement (AMR) for elliptic and hyperbolic systems. We use th...
Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applicati...
Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applicati...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...
We present the first systematic treatment of the problems posed by the visualization and analysis of...