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A speed-up algorithm in Monte Carlo simulation for fault tree analysis with GPU computing

机译:GPU计算中蒙特卡罗模拟中的一种加速算法

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The reliability analysis of critical systems could be performed with fault tree analysis. One of the approaches used for fault tree analysis is Monte Carlo simulation. The purpose of this paper is therefore to show an algorithm to speed-up Monte Carlo simulation for analyzing fault tree with parallel computing in GPU. To this end, we use time-to-failure tree to model fault tree with Compute Unified Device Architecture (CUDA) which is used to accelerate the execution of loops with many repetitions. Furthermore, we also use this technique to accelerate Monte Carlo simulations. In addition, we visualize fault tree so that the user is able to generate fault tree in detail using our developed software and can execute it. The computational outcomes validate the effectiveness of the suggested approach, as we approached about 310 times speed-up in large fault trees.
机译:可以使用故障树分析执行关键系统的可靠性分析。用于故障树分析的方法之一是Monte Carlo仿真。因此,本文的目的是阐述了一种算法来加速Monte Carlo仿真,用于分析GPU中并行计算的故障树。为此,我们使用失败的树是使用计算统一设备架构(CUDA)的故障树来模拟故障树,用于加速具有许多重复的循环的执行。此外,我们还使用这种技术加速Monte Carlo模拟。此外,我们可视化故障树,使用户能够使用我们开发的软件详细生成故障树,并可以执行它。计算结果验证了建议方法的有效性,因为我们在大故障树上加速约310次。

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