Defects in parallel Monte Carlo and quasi-Monte Carlo integration using the leap-frog technique

K. Entacher, Thomas Schell, W. C. Schmid, A. Uhl
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引用次数: 15

Abstract

Currently, the most efficient numerical techniques for evaluating high-dimensional integrals are based on Monte Carlo and quasi-Monte Carlo techniques. These tasks require a significant amount of computation and are therefore often executed on parallel computer systems. In order to keep the communication amount within a parallel system to a minimum, each processing element (PE) requires its own source of integration nodes. Therefore, techniques for using separately initialized and disjoint portions of a given point set on a single PE are classically employed. Using the so-called substreams may lead to dramatic errors in the results under certain circumstances. In this work, we compare the possible defects employing leaped quasi-Monte Carlo and Monte Carlo substreams. Apart from comparing the magnitude of the observed integration errors we give an overview under which circumstances (i.e. parallel programming models) such errors can occur.
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利用跃迁技术求解平行蒙特卡罗积分和拟蒙特卡罗积分中的缺陷
目前,计算高维积分最有效的数值方法是蒙特卡罗和拟蒙特卡罗方法。这些任务需要大量的计算,因此通常在并行计算机系统上执行。为了将并行系统内的通信量保持在最低限度,每个处理元素(PE)都需要自己的集成节点源。因此,通常采用在单个PE上使用给定点集的单独初始化和不相交部分的技术。在某些情况下,使用所谓的子流可能会导致结果出现严重错误。在这项工作中,我们比较了跳跃准蒙特卡罗和蒙特卡罗子流可能存在的缺陷。除了比较观察到的集成误差的大小之外,我们还概述了在哪些情况下(即并行编程模型)可能发生此类错误。
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