Paper Info
Title
Performance And Energy Assessment Of A Lattice Boltzmann Method Based Application On The Skylake Processor
Abstract
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. We analyse the measured performances of the implemented data layouts on the Skylake processor while scaling the number of threads per socket. We compare the results obtained on several CPU generations of the Intel processor family and we make an analysis of energy efficiency on the Skylake processor compared with the Intel Xeon Phi processor, finally adding our interpretation of the presented results.
Year
DOI
Venue
2020
10.3390/computation8020044
COMPUTATION
Keywords
DocType
Volume
lattice boltzmann method, KNL, skylake, flat mode, energy efficiency, computational performances, intel processor family, bandwidth, flops
Journal
8
Issue
Citations 
PageRank 
2
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Ivan Girotto100.34
Sebastiano Fabio Schifano219128.37
Enrico Calore3508.63
Gianluca Di Staso400.34
federico toschi5308.29