Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique

J. Benk, D. Pflüger
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引用次数: 19

Abstract

This paper presents an efficient approach to parallel pricing of multi-dimensional financial derivatives based on the Black-Scholes Partial Differential Equation (BS-PDE). One of the main challenges for such multi-dimensional problems is the curse of dimensionality, that is tackled in our approach by the combination technique (CT). This technique consists of a combination of several solutions obtained on anisotropic full grids. Hence, it offers the possibility to compute the BS-PDE on each one in an embarrassingly parallel way. Besides parallelizing on the CT level, we have developed a shared memory parallel multigrid solver for the BS-PDE. The parallel efficiency of our hybrid parallel approach is demonstrated by strong scaling results of 5D and 6D pricing problems.
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用截断组合技术求解Black-Scholes偏微分方程的混合并行解
提出了一种基于Black-Scholes偏微分方程(BS-PDE)的多维金融衍生品平行定价方法。这种多维问题的主要挑战之一是维度的诅咒,在我们的方法中通过组合技术(CT)解决了这一问题。该技术由在各向异性全网格上得到的几个解组合而成。因此,它提供了以令人尴尬的并行方式计算每个节点上的BS-PDE的可能性。除了在CT级并行化之外,我们还为BS-PDE开发了一个共享内存并行多网格求解器。我们的混合并行方法的并行效率通过5D和6D定价问题的强缩放结果证明。
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