首页> 外文会议>European PVM/MPI(Parallel Virtual Machine and Message Passing Interface) Users' Group Meeting; 20040919-22; Budapest(HU) >A Framework for Optimising Parameter Studies on a Cluster Computer by the Example of Micro-system Design
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A Framework for Optimising Parameter Studies on a Cluster Computer by the Example of Micro-system Design

机译:以微系统设计为例的集群计算机参数研究优化框架

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We present a framework to carry out optimising parameter studies on a cluster environment. The intention of such computation-intensive studies is to find an optimal parameter set concerning a specific objective function. We applied this framework on an example of an optimised design of a sophisticated composed optoelectronic detector. The characteristics of such a detector depend upon 25 different parameters which are input for a FEM program to simulate the detector's behaviour. Depending on the input data the simulation time varies from 10 minutes up to two days for a single simulation. With our framework it was possible to automate the parallel execution of 9000 simulation runs in three days on a 9 node cluster. On a single 2 GHz PC computer all runs would have taken more than one month. As a result we found a structure which improved the detector's former characteristics by a factor of 25.
机译:我们提出了一个在集群环境中进行参数优化研究的框架。这种计算密集型研究的目的是找到与特定目标函数有关的最佳参数集。我们将此框架应用于复杂组合光电探测器的优化设计示例。这种检测器的特性取决于25个不同的参数,这些参数输入到FEM程序中以模拟检测器的行为。根据输入数据,一次仿真的仿真时间从10分钟到两天不等。利用我们的框架,可以在3天之内在9节点群集上自动并行执行9000模拟运行。在单台2 GHz PC计算机上,所有运行将花费一个多月的时间。结果,我们发现了一种结构,该结构将检测器的先前特性提高了25倍。

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