Computational performances and energy efficiency assessment for a lattice boltzmann method on intel KNL

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

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

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationParallel Computing
Subtitle of host publicationTechnology Trends
EditorsIan Foster, Gerhard R. Joubert, Ludek Kucera, Wolfgang E. Nagel, Frans Peters
PublisherIOS Press
Pages605-613
Number of pages9
Volume36
ISBN (Electronic)9781643680705
ISBN (Print)978-1-64368-070-5
DOIs
Publication statusPublished - 2020

Publication series

NameAdvances in Parallel Computing
Volume36
ISSN (Print)0927-5452
ISSN (Electronic)1879-808X

Keywords

  • Cache mode
  • Computational performances
  • Energy efficiency
  • Flat mode
  • KNL
  • Lattice Boltzmann method

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