Performance and energy assessment of a lattice boltzmann method based application on the skylake processor

Ivan Girotto; Sebastiano Fabio Schifano; Enrico Calore; Gianluca Di Staso; Federico Toschi

doi:10.3390/COMPUTATION8020044

Performance and energy assessment of a lattice boltzmann method based application on the skylake processor

Ivan Girotto (Corresponding author), Sebastiano Fabio Schifano, Enrico Calore, Gianluca Di Staso, Federico Toschi

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Article number	44
Journal	Computation
Volume	8
Issue number	2
DOIs	https://doi.org/10.3390/COMPUTATION8020044
Publication status	Published - 1 Jun 2020

Bibliographical note

This Paper Is an Extended Version of Our Paper Published in the Proceedings of the ParCo2019: Mini-Symposium on Energy-Efficient Computing on Parallel Architectures, Prague, Czech Republic, 10–13 September 2019.

Funding

This research was funded by INFN within the COKA and COSA projects, and by the University of Ferrara in the context of "Grandi Attrezzature 2015". E.C. was supported by "Contributo 5 per mille assegnato all'Universit? degli Studi di Ferrara-dichiarazione dei redditi dell'anno 2014" and by the EuroExa Project (grant agreement No. 754337), funded by the European Union's Horizon 2020 Research and Innovation Programme. We would like to thank PRACE for the granted project (ID: 2018184340 & 2019204899) "TurEmu-The physics of (turbulent) emulsions" along with CINECA, BSC, INFN and The University of Ferrara for access to their HPC systems.

Funders	Funder number
European Union's Horizon 2020 - Research and Innovation Framework Programme	754337
Barcelona Supercomputing Center

Keywords

Bandwidth
Computational performances
Energy efficiency
Flat mode
Flops
Intel processor family
KNL
Lattice boltzmann method
Skylake

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/COMPUTATION8020044

Cite this

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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.",

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N2 - 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.

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Performance and energy assessment of a lattice boltzmann method based application on the skylake processor

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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