The increased availability of modern embedded many-core architectures supporting floating-point operations in hardware makes them interesting targets in traditional high performance computing areas as well. In this paper, the Lattice Boltzmann Method (LBM) from the domain of Computational Fluid Dynamics (CFD) is evaluated on Adapteva’s Epiphany many-core architecture. Although the LBM implementation shows very good scalability and high floating-point efficiency in the lattice computations, current Epiphany hardware does not provide adequate amounts of either local memory or external memory bandwidth to provide a good foundation for simulation of the large problems commonly encountered in real CFD applications.This work was supported by the ...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
The advent of cheap massively parallel computer architectures in accelerators such as Graphical Proc...
The scientific community in its never-ending road of larger and more efficient computational resourc...
The increased availability of modern embedded many-core architectures supporting floating-point oper...
AbstractThe increased availability of modern embedded many-core architectures supporting floating- p...
Computational fluid dynamics (CFD) plays an important role in many scientific applications, ranging ...
Numerical analysts and programmers are currently facing a conceptual change in processor technology....
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
Abstract We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for ma...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...
We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively p...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
This research project presents an overview of the Lattice Boltzmann Method (LBM), an alternative nu...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
The advent of cheap massively parallel computer architectures in accelerators such as Graphical Proc...
The scientific community in its never-ending road of larger and more efficient computational resourc...
The increased availability of modern embedded many-core architectures supporting floating-point oper...
AbstractThe increased availability of modern embedded many-core architectures supporting floating- p...
Computational fluid dynamics (CFD) plays an important role in many scientific applications, ranging ...
Numerical analysts and programmers are currently facing a conceptual change in processor technology....
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
We present a software approach to hardware-oriented numerics which builds upon an augmented, previou...
Abstract We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for ma...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...
We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively p...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
This research project presents an overview of the Lattice Boltzmann Method (LBM), an alternative nu...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
The advent of cheap massively parallel computer architectures in accelerators such as Graphical Proc...
The scientific community in its never-ending road of larger and more efficient computational resourc...