Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Towards Exascale Lattice Boltzmann computing

Academic Article
Publication Date:
2019
abstract:
We discuss the state of art of Lattice Boltzmann (LB) computing, with special focus on prospective LB schemes capable of meeting the forthcoming Exascale challenge. After reviewing the basic notions of LB computing, we discuss current techniques to improve the performance of LB codes on parallel machines and illustrate selected leading-edge applications in the Petascale range. Finally, we put forward a few ideas on how to improve the communication/computation overlap in current largescale LB simulations, as well as possible strategies towards fault-tolerant LB schemes. (C) 2019 Published by Elsevier Ltd.
Iris type:
01.01 Articolo in rivista
Keywords:
computational fluid dynamics
List of contributors:
Montessori, Andrea; Succi, Sauro; Bernaschi, Massimo; Lauricella, Marco
Authors of the University:
BERNASCHI MASSIMO
LAURICELLA MARCO
Handle:
https://iris.cnr.it/handle/20.500.14243/394378
Published in:
COMPUTERS & FLUIDS
Journal
  • Overview

Overview

URL

https://arxiv.org/abs/2005.05908
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)