In this paper we report results of the analysis of computational performances and energy efficiency of a Lattice Boltzmann method (LBM) based application on the Intel KNL family of processors. In particular we analyse the impact of the main memory (DRAM) while using optimised memory access patterns to accessing data on the on-chip memory (MCDRAM) configured as cache for the DRAM, even when the size of the data of the simulation fits the capacity of the on-chip memory available on socket
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
AbstractIn this paper we report on our early experience on porting, optimizing and benchmarking a La...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
In this paper we report results of the analysis of computational performances and energy efficiency ...
This paper presents the performance analysis for both the computing performance and the energy effic...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...
Abstract In this paper we report on our early experience on porting, optimizing and benchmarking a...
When designing and implementing highly efficient scientific applications for parallel computers such...
In this paper we report on our early experience on porting, optimizing and benchmarking a Lattice Bo...
In this work we focus on energy performance of the Knights Landing Xeon Phi, the latest many-core ar...
Energy consumption of processors and memories is quickly becoming a limiting factor in the deploymen...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
Several efforts have been performed to improve LBM defects related to its computational performance....
In this paper we address the problem of identifying and exploiting techniques that optimize the perf...
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
AbstractIn this paper we report on our early experience on porting, optimizing and benchmarking a La...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...
In this paper we report results of the analysis of computational performances and energy efficiency ...
This paper presents the performance analysis for both the computing performance and the energy effic...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
Algorithms with low computational intensity show interesting per-formance and power consumption beha...
Abstract In this paper we report on our early experience on porting, optimizing and benchmarking a...
When designing and implementing highly efficient scientific applications for parallel computers such...
In this paper we report on our early experience on porting, optimizing and benchmarking a Lattice Bo...
In this work we focus on energy performance of the Knights Landing Xeon Phi, the latest many-core ar...
Energy consumption of processors and memories is quickly becoming a limiting factor in the deploymen...
We present an auto-tuning approach to optimize application performance on emerging multicore archite...
Several efforts have been performed to improve LBM defects related to its computational performance....
In this paper we address the problem of identifying and exploiting techniques that optimize the perf...
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
AbstractIn this paper we report on our early experience on porting, optimizing and benchmarking a La...
GPUs deliver higher performance than traditional processors, offering remarkable energy efficiency, ...