基于同构硬件的大规模分布式仿真性能评估

Desheng Fu, Matthias Becker, Marcus O'Connor, H. Szczerbicka
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引用次数: 1

摘要

大规模的分布式仿真应该在执行之前做好计划,因为使用不必要的硬件只会浪费我们的时间和金钱。另一方面,我们需要足够的硬件来实现可接受的性能。因此,在执行大规模分布式仿真之前对其性能进行评估是非常重要的。由于对仿真算法和模型划分的优化,这种估计在很多情况下也提高了应用硬件的效率。在本文中,我们展示了我们的方法来估计性能,特别是执行的持续时间,一个大规模的分布式仿真系统建立在一组大的同构硬件上,使用一组小的相同类型的硬件。我们的基本思想是考虑分布的所有成本和收益,在短时间内以顺序方式模拟分布式仿真。我们的案例研究结果表明,我们的方法能够提供有意义的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating performance of large scale distributed simulation built on homogeneous hardware
Large scale distributed simulation should be well planned before the execution, since applying unnecessary hardware only wastes our time and money. On the other side, we need enough hardware to achieve an acceptable performance. Thus, it is considerable to estimate the performance of a large scale distributed simulation before the execution. Such an estimation also improves the efficiency of the applied hardware in many cases due to the optimization on the simulation algorithm and on the partition of the model. In this paper, we show our approaches to estimate the performance, especially the duration of execution, of a large scale distributed simulation system built on a large set of homogeneous hardware, using a small set of hardware of the same type. Our basic idea is to simulate a distributed simulation in a sequential way for a short time considering all the costs and benefits of the distribution. The results of our case study show that our approaches are able to provide meaningful estimations.
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