Over the last decade block-structured adaptive mesh refinement (SAMR) has found increasing use in large, publicly available codes and frameworks. SAMR frameworks have evolved along different paths. Some have stayed focused on specific domain areas, others have pursued a more general functionality, providing the building blocks for a larger variety of applications. In this survey paper we examine a representative set of SAMR packages and SAMR-based codes that have been in existence for half a decade or more, have a reasonably sized and active user base outside of their home institutions, and are publicly available. The set consists of a mix of SAMR packages and application codes that cover a broad range of scientific domains. We look at thei...
To increase the speed of computer simulations we solve partial differential equations (PDEs) using s...
Adaptive mesh refinement computations are complicated by their dynamic nature. In the serial environ...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...
Over the last decade block-structured adaptive mesh refinement (SAMR) has found increasing use in la...
pre-printOver the last decade block-structured adaptive mesh refinement (SAMR) has found increasing ...
Among the present generation of multiphysics HPC simulation codes there are many that are built upon...
Structured adaptive mesh refinement methods are being widely used for computer simulations of variou...
Structured Adaptive Mesh Refinement (SAMR) simulation methods are attractive because they can increa...
In this paper we introduce a block-structured adaptive mesh refinement software framework that incor...
Dynamic Structured Adaptive Mesh Refinement (SAMR) techniques for solving partial differential equat...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
Abstract—We describe a set of lower-level abstractions to improve performance on modern large scale ...
Structured adaptive mesh refinement (SAMR) techniques can enable cutting-edge simulations of problem...
Structured-grid adaptive mesh refinement (SAMR) is an approach to mesh generation that supports stru...
Meshes are a core part of almost any numerical simulation code. A good choice of mesh is crucial t...
To increase the speed of computer simulations we solve partial differential equations (PDEs) using s...
Adaptive mesh refinement computations are complicated by their dynamic nature. In the serial environ...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...
Over the last decade block-structured adaptive mesh refinement (SAMR) has found increasing use in la...
pre-printOver the last decade block-structured adaptive mesh refinement (SAMR) has found increasing ...
Among the present generation of multiphysics HPC simulation codes there are many that are built upon...
Structured adaptive mesh refinement methods are being widely used for computer simulations of variou...
Structured Adaptive Mesh Refinement (SAMR) simulation methods are attractive because they can increa...
In this paper we introduce a block-structured adaptive mesh refinement software framework that incor...
Dynamic Structured Adaptive Mesh Refinement (SAMR) techniques for solving partial differential equat...
This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) projec...
Abstract—We describe a set of lower-level abstractions to improve performance on modern large scale ...
Structured adaptive mesh refinement (SAMR) techniques can enable cutting-edge simulations of problem...
Structured-grid adaptive mesh refinement (SAMR) is an approach to mesh generation that supports stru...
Meshes are a core part of almost any numerical simulation code. A good choice of mesh is crucial t...
To increase the speed of computer simulations we solve partial differential equations (PDEs) using s...
Adaptive mesh refinement computations are complicated by their dynamic nature. In the serial environ...
The efficient use of computational resources while maintaining a certain level of solution accuracy ...