• DocumentCode
    2020882
  • 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
  • fYear
    2009
  • fDate
    25-29 May 2009
  • Firstpage
    608
  • Lastpage
    613
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/AMS.2009.27
  • Filename
    5072056