We describe the porting of the Lattice Boltzmann component of MUPHY, a multi-physics/scale simulation software, to multiple graphics processing units using the Compute Unified Device Architecture. The novelty of this work is the development of ad hoc techniques for optimizing the indirect addressing that MUPHY uses for efficient simulations of irregular domains.Engineering and Applied SciencesPhysic
During the past two decades, the lattice Boltzmann method (LBM) has been increasingly acknowledged a...
A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with...
Abstract. We present an efficient method for the simulation of laminar fluid flows with free surface...
Lattice-Boltzmann methods are versatile numerical modeling techniques capable of reproducing a wide ...
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluste...
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
AbstractGraphics Processing Units (GPUs), originally developed for computer games, now provide compu...
The main contribution of the present work consists of several parallel approaches for grid refinemen...
The lattice Boltzmann method has become a valuable tool in computational fluid dynamics, one of the ...
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluste...
For the dynamics of macromolecules in solution, hydrodynamic interactions mediated by the solvent mo...
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluste...
Scientific computing community has been in close connection with high performance computing (HPC), ...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
This thesis has for goal to define and develop solutions in order to achieve physical simulations on...
During the past two decades, the lattice Boltzmann method (LBM) has been increasingly acknowledged a...
A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with...
Abstract. We present an efficient method for the simulation of laminar fluid flows with free surface...
Lattice-Boltzmann methods are versatile numerical modeling techniques capable of reproducing a wide ...
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluste...
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
AbstractGraphics Processing Units (GPUs), originally developed for computer games, now provide compu...
The main contribution of the present work consists of several parallel approaches for grid refinemen...
The lattice Boltzmann method has become a valuable tool in computational fluid dynamics, one of the ...
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluste...
For the dynamics of macromolecules in solution, hydrodynamic interactions mediated by the solvent mo...
We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluste...
Scientific computing community has been in close connection with high performance computing (HPC), ...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
This thesis has for goal to define and develop solutions in order to achieve physical simulations on...
During the past two decades, the lattice Boltzmann method (LBM) has been increasingly acknowledged a...
A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with...
Abstract. We present an efficient method for the simulation of laminar fluid flows with free surface...