Energy-Efficiency Tuning of a Lattice Boltzmann Simulation Using MERIC

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Energy-efficiency is already of paramount importance for High Performance Computing (HPC) systems operation, and tools to monitor power usage and tune relevant hardware parameters are already available and in use at major supercomputing centres. On the other hand, HPC application developers and users still usually focus just on performance, even if they will probably be soon required to look also at the energy-efficiency of their jobs. Only few software tools allow to energy-profile a generic application, and even less are able to tune energy-related hardware parameters from the application itself. In this work we use the MERIC library and the RADAR analyzer, developed within the EU READEX project, to profile and tune for efficiency the execution parameters of a real-life Lattice Boltzmann code. Profiling methodology and details are described, and results are presented and compared with the ones measured in a previous work using different methodologies and tools.

Original languageEnglish
Title of host publicationParallel Processing and Applied Mathematics
Subtitle of host publication13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II
EditorsRoman Wyrzykowski, Konrad Karczewski, Ewa Deelman, Jack Dongarra
Place of PublicationCham
PublisherSpringer
Chapter15
Pages169-180
Number of pages12
ISBN (Electronic)978-3-030-43222-5
ISBN (Print)978-3-030-43221-8
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019 - Bialystok, Poland
Duration: 8 Sept 201911 Sept 2019

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer
Volume12044
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameTheoretical Computer Science and General Issues (LNTCS)
Volume12044

Conference

Conference13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019
Country/TerritoryPoland
CityBialystok
Period8/09/1911/09/19

Funding

This work was done in the framework of the COKA, and COSA projects of INFN. We thank Università degli Studi di Ferrara for access to their HPC systems. Enrico Calore was partially founded by “Contributo 5 per mille assegnato all’Università degli Studi di Ferrara-dichiarazione dei redditi dell’anno 2014”.

Keywords

  • Efficiency
  • Energy
  • Lattice Boltzmann
  • MERIC
  • Optimization

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