A modular process that can efficiently solve large scale multidisciplinary problems using massively parallel supercomputers is presented. The process integrates disciplines with diverse physical characteristics by retaining the efficiency of individual disciplines. Computational domain independence of individual disciplines is maintained using a meta programming approach. The process integrates disciplines without affecting the combined performance. Results are demonstrated for large scale aerospace problems on several supercomputers. The super scalability and portability of the approach is demonstrated on several parallel computers
Methods for the parallelization of complex software systems in scientific computing have been develo...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
. In this paper, we present an interdisciplinary research project whose central objective is to deve...
Research has continued with excellent progress and new results on methodology and algorithms. We hav...
This report gives a quick description of progress on methods, algorithms and software for large-scal...
The work is devoted to developing and testing parallel algorithms, suit of computer programs for num...
International audienceScientific computing has become an indispensable tool in numerous fields, such...
HiMAP is a three level parallel middleware that can be interfaced to a large scale global design env...
This paper describes several results of parallel and distributed computing using a large scale produ...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
Phase I is complete for the development of a Computational Fluid Dynamics parallel code with automat...
The focus of the subject DOE sponsored research concerns parallel methods, algorithms, and software ...
In order to run CFD codes more efficiently on large scales, the parallel computing has to be employe...
LBM-IB method is useful and popular simulation technique that is adopted ubiquitously to solve Fluid...
Recent developments at the NASA AMES Research Center's NAS Division have demonstrated that the new g...
Methods for the parallelization of complex software systems in scientific computing have been develo...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
. In this paper, we present an interdisciplinary research project whose central objective is to deve...
Research has continued with excellent progress and new results on methodology and algorithms. We hav...
This report gives a quick description of progress on methods, algorithms and software for large-scal...
The work is devoted to developing and testing parallel algorithms, suit of computer programs for num...
International audienceScientific computing has become an indispensable tool in numerous fields, such...
HiMAP is a three level parallel middleware that can be interfaced to a large scale global design env...
This paper describes several results of parallel and distributed computing using a large scale produ...
We develop scalable algorithms and object-oriented code frameworks for terascale scientific simulati...
Phase I is complete for the development of a Computational Fluid Dynamics parallel code with automat...
The focus of the subject DOE sponsored research concerns parallel methods, algorithms, and software ...
In order to run CFD codes more efficiently on large scales, the parallel computing has to be employe...
LBM-IB method is useful and popular simulation technique that is adopted ubiquitously to solve Fluid...
Recent developments at the NASA AMES Research Center's NAS Division have demonstrated that the new g...
Methods for the parallelization of complex software systems in scientific computing have been develo...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
. In this paper, we present an interdisciplinary research project whose central objective is to deve...