4.5 Article

Projecting LBM performance on Exascale class Architectures: A tentative outlook

Journal

JOURNAL OF COMPUTATIONAL SCIENCE
Volume 55, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jocs.2021.101447

Keywords

Lattice Boltzmann method; Exascale class supercomputer; High performance computing; GPU acceleration

Funding

  1. Vittorio Ruggiero
  2. European Research Council [739964]
  3. CINECA Computational Grant [HP10B9ZOKQ]
  4. PRIN Project [CUP E84I19001020006]

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The paper presents a prospective scenario for using a Lattice Boltzmann (LB) code on forthcoming Exascale supercomputers based on current Petascale HPC performance, aiming to provide guidelines for planning larger and more complex simulations in the future.
In the next years, the first Exascale class supercomputers will go online. In this paper, we portray a prospective Exascale scenario for a Lattice Boltzmann (LB) code, based on the performance obtained exploiting an up-to-date Petascale HPC facility. Although extrapolation is always a perilous exercise, in this work we aim to lay down a few guidelines to help the LBM community to carefully plan larger and more complex simulations using the forthcoming Exascale supercomputer machines.

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