Exascale格子Boltzmann计算
Towards Exascale Lattice Boltzmann computing
摘要：
我们讨论了格子玻尔兹曼（LB）计算的最新技术，特别关注能够满足即将到来的Exascale挑战的前瞻性LB计划。回顾LB计算的基本概念后，我们讨论了当前的技术，以提高LB代码的性能在并行机上，并说明选定的前沿应用在Petascale范围。最后，我们提出了一些想法，如何改善通信/计算重叠，在当前的大规模LB模拟，以及可能的容错LB计划的策略。
英文摘要：
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 simulations, as well as possible strategies towards fault-tolerant LB schemes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
