Towards Exascale Lattice Boltzmann computing

S. Succi, G. Amati, M. Bernaschi, G. Falcucci, M. Lauricella, A. Montessori
<span title="">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wp3g5bo4ojczdinvl7cavuwkq4" style="color: black;">Computers &amp; Fluids</a> </i> &nbsp;
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 large-scale LB
more &raquo; ... mulations, as well as possible strategies towards fault-tolerant LB schemes.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compfluid.2019.01.005">doi:10.1016/j.compfluid.2019.01.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7pmhodov7rb3zaf4ehcekuq4ke">fatcat:7pmhodov7rb3zaf4ehcekuq4ke</a> </span>
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