Scaling of Distributed Multi-simulations on Multi-core Clusters

Cherifa Dad, S. Vialle, M. Caujolle, Jean-Philippe Tavella, Michel Ianotto
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引用次数: 6

Abstract

DACCOSIM is a multi-simulation environment for continuous time systems, relying on FMI standard, making easy the design of a multi-simulation graph, and specially developed for multi-core PC clusters, in order to achieve speedup and size up. However, the distribution of the simulation graph remains complex and is still the responsibility of the simulation developer. This paper introduces DACCOSIM parallel and distributed architecture, and our strategies to achieve efficient multi-simulation graph distribution on multi-core clusters. Some performance experiments on two clusters, running up to 81 simulation components (FMU) and using up to 16 multi-core computing nodes, are shown. Performances measured on our faster cluster exhibit a good scalability, but some limitations of current DACCOSIM implementation are discussed.
多核集群上分布式多仿真的扩展
DACCOSIM是连续时间系统的多仿真环境,依托于FMI标准,简化了多仿真图的设计,专为多核PC集群开发,以实现加速和放大。然而,仿真图的分布仍然很复杂,仍然是仿真开发人员的责任。本文介绍了DACCOSIM并行和分布式架构,以及我们在多核集群上实现高效多仿真图分布的策略。展示了在两个集群上运行多达81个仿真组件(FMU)和使用多达16个多核计算节点的一些性能实验。在我们更快的集群上测量的性能显示出良好的可伸缩性,但是讨论了当前DACCOSIM实现的一些限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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