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Dynamic topology aware load balancing algorithms for molecular dynamics applications

机译:用于分子动力学应用程序的动态拓扑感知负载平衡算法

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Molecular Dynamics applications enhance our understanding of biological phenomena through bio-molecular simulations. Large-scale parallelization of MD simulations is challenging because of the small number of atoms and small time scales involved. Load balancing in parallel MD programs is crucial for good performance on large parallel machines. This paper discusses load balancing algorithms deployed in a MD code called NAMD. It focuses on new schemes deployed in the load balancers and provides an analysis of the performance benefits achieved. Specifically, the paper presents the technique of topology-aware mapping on 3D mesh and torus architectures, used to improve scalability and performance. These techniques have a wide applicability for latency intolerant applications.
机译:分子动力学应用程序通过生物分子模拟增强了我们对生物现象的理解。 MD仿真的大规模并行化具有挑战性,因为涉及的原子数量少且时间尺度短。并行MD程序中的负载平衡对于大型并行机上的良好性能至关重要。本文讨论了在称为NAMD的MD代码中部署的负载平衡算法。它着重于负载均衡器中部署的新方案,并提供了所获得的性能优势的分析。具体来说,本文介绍了在3D网格和环面体系结构上的拓扑感知映射技术,该技术用于提高可伸缩性和性能。这些技术对于不耐等待时间的应用具有广泛的适用性。

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