Title :
Efficient High Performance Computing Framework for Short Rate Models
Author :
Dampahala, T.P. ; Premadasa, H.D.D.D. ; Ranasinghe, P.W.W. ; Weerasinghe, J.N.P. ; Wimalawarne, K.A.D.N.K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa
Abstract :
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.
Keywords :
finance; back-end cluster; cluster computing environment; computational finance; high performance computing framework; mathematical calculations; one-factor short rate models; quantitative finance; Asia; Calibration; Computational modeling; Concurrent computing; Finance; High performance computing; Mathematical model; Parallel processing; Solid modeling; Stochastic processes; Cluster Computing; Computational Finance; High Performance Computing; Parallel Finance Framework; Parallel Monte Carlo;
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
DOI :
10.1109/AMS.2009.27