Computational Science and Engineering (CSE) applications often exhibit the pattern of adaptive mesh applications. Adaptive mesh algorithm starts with a coarse base-level grid structure covering entire computational domain. As the computation intensified, individual grid points are tagged for refinement. Such tagged grid points are dynamically overlayed with finer grid points. Similarly if the level of refinement in a cell is greater than required, all such regions are replaced with coarser grids. These refinements proceed recursively. We have developed an object-oriented framework enabling time-stepped adaptive mesh application developers to convert their sequential applications to MPI applications in few easy steps. We present in this thes...
In this paper, an object-oriented framework for numerical analysis of multi-physics applications is ...
The ability to perform effective adaptive analysis has become a critical issue in the area of physic...
With the proliferation of large scale dynamic execution environments such as grids, the need for pr...
Computational Science and Engineering (CSE) applications often exhibit the pattern of adaptive mesh ...
Many numerical solutions of large scale simulation models require finer discretizations in some regi...
Structured adaptive mesh algorithms dynamically allocate computational resources to accurately resol...
this paper, we introduce a new software framework that enhances the performance of Message Passing I...
In the quest for extreme-scale supercomputers, the High Performance Computing (HPC) community has de...
Programming non-embarrassingly parallel scientific computing applications such as those involving th...
This project developed high-level computational tools that facilitate the development of fluid flow ...
In this paper, we describe a community toolkit which is designed to provide parallel support with ad...
Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applicati...
The definition of a computational mesh uniquely suited to a given model is a difficult and time cons...
International audienceCompiler automatic optimization and parallelization techniques are well suited...
We present a new approach to the use of parallel computers with adaptive finite element methods. Thi...
In this paper, an object-oriented framework for numerical analysis of multi-physics applications is ...
The ability to perform effective adaptive analysis has become a critical issue in the area of physic...
With the proliferation of large scale dynamic execution environments such as grids, the need for pr...
Computational Science and Engineering (CSE) applications often exhibit the pattern of adaptive mesh ...
Many numerical solutions of large scale simulation models require finer discretizations in some regi...
Structured adaptive mesh algorithms dynamically allocate computational resources to accurately resol...
this paper, we introduce a new software framework that enhances the performance of Message Passing I...
In the quest for extreme-scale supercomputers, the High Performance Computing (HPC) community has de...
Programming non-embarrassingly parallel scientific computing applications such as those involving th...
This project developed high-level computational tools that facilitate the development of fluid flow ...
In this paper, we describe a community toolkit which is designed to provide parallel support with ad...
Adaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applicati...
The definition of a computational mesh uniquely suited to a given model is a difficult and time cons...
International audienceCompiler automatic optimization and parallelization techniques are well suited...
We present a new approach to the use of parallel computers with adaptive finite element methods. Thi...
In this paper, an object-oriented framework for numerical analysis of multi-physics applications is ...
The ability to perform effective adaptive analysis has become a critical issue in the area of physic...
With the proliferation of large scale dynamic execution environments such as grids, the need for pr...