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Efficient High Performance Computing Framework for Short Rate Models

机译:高效型号的高性能计算框架

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Many mathematical calculations in the field of computational finance consume a lot of time and resources for processing. Some of the short rate models used in quantitative finance which have been taken into consideration in this paper have been optimized for performance within a cluster computing environment. The back-end cluster has been seamlessly integrated with an easy-to-use front-end which can be used by finance professionals who are not aware of the details of the computational and database cluster. Furthermore, many techniques that have been utilized to improve the efficiency of the models have also been described. This paper also describes the generalization of a high performance computing cluster designed for one-factor short rate models and how it can be used easily to be further extended for other mathematical models in quantitative finance. The ultimate objective is to come up with a generalized framework for quantitative finance.
机译:计算融资领域的许多数学计算消耗了大量的时间和资源进行处理。在本文中考虑的定量金融中使用的一些短速率模型已经针对集群计算环境中的性能进行了优化。后端群集已与易于使用的前端无缝集成,可以由不了解计算和数据库群集的详细信息的财务专业人员使用。此外,还描述了已经利用的许多技术来提高模型的效率。本文还描述了专为单因素短速率模型而设计的高性能计算集群的泛化,以及如何在定量金融中的其他数学模型中轻松进一步扩展。最终目标是提出一个用于量化金融的广义框架。

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