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Parallelization of an Advection-Diffusion Problem Arising in Edge Plasma Physics Using Hybrid MPI/OpenMP Programming

机译:使用混合MPI / OpenMP编程的边缘等离子体物理学中出现的对流扩散问题的并行化

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This work presents a hybrid MPI/OpenMP parallelization strategy for an advection-diffusion problem, arising in a scientific application simulating tokamak's edge plasma physics. This problem is the hotspot of the system of equations numerically solved by the application. As this part of the code is memory-bandwidth limited, we show the benefit of a parallel approach that increases the aggregated memory bandwidth in using multiple computing nodes. In addition, we designed some algorithms to limit the additional cost, induced by the needed extra inter nodal communications. The proposed solution allows to achieve good scalings on several nodes and to observe 70 % of relative efficiency on 512 cores. Also, the hybrid parallelization allows to consider larger domain sizes, unreachable on a single computing node.
机译:这项工作提出了一种用于平流扩散问题的混合MPI / OpenMP并行化策略,这种策略是在模拟托卡马克边缘等离子体物理的科学应用中出现的。这个问题是应用程序数值求解的方程组的热点。由于代码的这一部分受内存带宽限制,因此我们展示了并行方法的好处,该方法在使用多个计算节点时增加了聚合的内存带宽。此外,我们设计了一些算法来限制由于需要额外的节点间通信而导致的额外费用。所提出的解决方案允许在几个节点上实现良好的扩展,并在512个内核上观察到70%的相对效率。而且,混合并行化允许考虑更大的域大小,这在单个计算节点上是无法达到的。

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