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Synchronous and Asynchronous Distributed Computing for Financial Option Pricing

  • Conference paper
Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6783))

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Abstract

This paper deals with the numerical solution of financial applications, more specifically the computation of American and European options derivatives modeled by boundary value problems. In such applications we have to solve large-scale algebraic linear systems. We concentrate on synchronous and asynchronous parallel iterative algorithms carried out on Grid’5000, by using an experimental peer-to-peer platform. The properties of the operators arising in the discretized problem ensure the convergence of the parallel iterative synchronous and asynchronous algorithms. Different detection convergence algorithms are tested for asynchronous iterations. Computational experiments performed on distributed architectures are presented and analyzed.

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© 2011 Springer-Verlag Berlin Heidelberg

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Garcia, T., Chau, M., Spiteri, P. (2011). Synchronous and Asynchronous Distributed Computing for Financial Option Pricing. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21887-3_50

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  • DOI: https://doi.org/10.1007/978-3-642-21887-3_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21886-6

  • Online ISBN: 978-3-642-21887-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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