When designing and implementing highly ecient scienti c applications for parallel computers such as clusters of workstations, it is inevitable to consider and to optimize the single{CPU performance of the codes. For this purpose, it is particularly important that the codes respect the hierarchical memory designs that computer architects employ in order to hide the eects of the growing gap between CPU performance and main memory speed. In this paper, we present techniques to enhance the single{CPU eciency of lattice Boltzmann methods which are commonly used in computational uid dynamics. We show various performance results to emphasize the eectiveness of our optimization techniques
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
In this paper we report results of the analysis of computational performances and energy efficiency ...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...
When designing and implementing highly efficient scientific applications for parallel computers such...
Delivering high sustained performance for memory-intensive applications in computa-tional fluid dyna...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively p...
AbstractWe develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for mas...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively p...
Numerical simulation programs using the lattice Boltzmann equation are limited in the range of probl...
Abstract We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for ma...
In this paper we address the problem of identifying and exploiting techniques that optimize the perf...
AbstractLattice Boltzmann (LB) methods are a class of Computational Fluid Dynamics (CFD) methods for...
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
In this paper we report results of the analysis of computational performances and energy efficiency ...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...
When designing and implementing highly efficient scientific applications for parallel computers such...
Delivering high sustained performance for memory-intensive applications in computa-tional fluid dyna...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively p...
AbstractWe develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for mas...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for massively p...
Numerical simulation programs using the lattice Boltzmann equation are limited in the range of probl...
Abstract We develop a Lattice Boltzmann code for computational fluid-dynamics and optimize it for ma...
In this paper we address the problem of identifying and exploiting techniques that optimize the perf...
AbstractLattice Boltzmann (LB) methods are a class of Computational Fluid Dynamics (CFD) methods for...
We describe the implementation and optimization of a state-of-the-art Lattice Boltzmann code for com...
In this paper we report results of the analysis of computational performances and energy efficiency ...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...