In this whitepaper, a new mesh multiplication package developed for Code_Saturne is described. The package implements parallel global refinement of hexahedral meshes for Code_Saturne to allow creating meshes with more than 1 billion cells. This enables running Code_Saturne’s extremely large CFD simulations on PRACE Tier-0 systems. The effectiveness of the implemented multiplication algorithm is demonstrated on practical examples, which were carried out on CURIE system at CEA
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
Larger supercomputers allow the simulation of more complex phenomena with increased accuracy. Eventu...
Computational simulation must often be performed on domains where materials are represented as scala...
Some of the optimisations required to prepare Code_Saturne for petascale simulations are presented i...
Computational Fluid Dynamics (CFD) is one of the eld which can fully utilize the capacity of existin...
In order to run CFD codes more efficiently on large scales, the parallel computing has to be employe...
We present here the enhancement of a parallel incompressible Navier-Stokes solver to be able to mana...
In this paper, we report the development of a parallel mesh multiplication code to subdivide a base ...
International audienceWe first define the meaning of "massively parallel computation": considering o...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
The growing need for numerical simulations results in larger and more complex computing centers and ...
This paper briefly addresses the computational requirements for the analysis of complete configurati...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
Computational fluid analysis requires huge amounts of computational resources. However, for the usua...
This paper describes the portable parallelization of the FLOWer code, a large, block structured CFD ...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
Larger supercomputers allow the simulation of more complex phenomena with increased accuracy. Eventu...
Computational simulation must often be performed on domains where materials are represented as scala...
Some of the optimisations required to prepare Code_Saturne for petascale simulations are presented i...
Computational Fluid Dynamics (CFD) is one of the eld which can fully utilize the capacity of existin...
In order to run CFD codes more efficiently on large scales, the parallel computing has to be employe...
We present here the enhancement of a parallel incompressible Navier-Stokes solver to be able to mana...
In this paper, we report the development of a parallel mesh multiplication code to subdivide a base ...
International audienceWe first define the meaning of "massively parallel computation": considering o...
Massively parallel computers have enabled the analyst to solve complicated flow fields (turbulent, c...
The growing need for numerical simulations results in larger and more complex computing centers and ...
This paper briefly addresses the computational requirements for the analysis of complete configurati...
Processor technology is still dramatically advancing and promises enormous improvements in processin...
Computational fluid analysis requires huge amounts of computational resources. However, for the usua...
This paper describes the portable parallelization of the FLOWer code, a large, block structured CFD ...
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969...
Larger supercomputers allow the simulation of more complex phenomena with increased accuracy. Eventu...
Computational simulation must often be performed on domains where materials are represented as scala...