This paper presents the performance analysis for both the computing performance and the energy efficiency of a Lattice Boltzmann Method (LBM) based application, used to simulate three-dimensional multicomponent turbulent systems on massively parallel architectures for high-performance computing. Extending results reported in previous works, the analysis is meant to demonstrate the impact of using optimized data layouts designed for LBM based applications on high-end computer platforms. A particular focus is given to the Intel Skylake processor and to compare the target architecture with other models of the Intel processor family. We introduce the main motivations of the presented work as well as the relevance of its scientific application. ...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
This paper presents the performance analysis for both the computing performance and the energy effic...
In this paper we report results of the analysis of computational performances and energy efficiency ...
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...
In this paper we address the problem of identifying and exploiting techniques that optimize the perf...
In this paper we report on our early experience on porting, optimizing and benchmarking a Lattice Bo...
AbstractIn this paper we report on our early experience on porting, optimizing and benchmarking a La...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
Abstract In this paper we report on our early experience on porting, optimizing and benchmarking a...
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
Lattice Boltzmann (LB) methods are widely used today to describe the dynamics of fluids. Key adva...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
This paper presents the performance analysis for both the computing performance and the energy effic...
In this paper we report results of the analysis of computational performances and energy efficiency ...
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...
In this paper we address the problem of identifying and exploiting techniques that optimize the perf...
In this paper we report on our early experience on porting, optimizing and benchmarking a Lattice Bo...
AbstractIn this paper we report on our early experience on porting, optimizing and benchmarking a La...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
Abstract In this paper we report on our early experience on porting, optimizing and benchmarking a...
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
Lattice Boltzmann (LB) methods are widely used today to describe the dynamics of fluids. Key adva...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...