Parallel Computing Applications and Financial Modelling

At Queen Mary, University of London, we have over twenty years of experience in Parallel Computing Applications, mostly on "massively parallel systems", such as the Distributed Array Processors (DAPs). The applications in which we were involved included design of numerical subroutine libra...

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Bibliographic Details
Main Authors: Heather M. Liddell, D. Parkinson, G.S. Hodgson, P. Dzwig
Format: Article
Language:English
Published: Hindawi Limited 2004-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2004/404575
Description
Summary:At Queen Mary, University of London, we have over twenty years of experience in Parallel Computing Applications, mostly on "massively parallel systems", such as the Distributed Array Processors (DAPs). The applications in which we were involved included design of numerical subroutine libraries, Finite Element software, graphics tools, the physics of organic materials, medical imaging, computer vision and more recently, Financial modelling. Two of the projects related to the latter are described in this paper, namely Portfolio Optimisation and Financial Risk Assessment.
ISSN:1058-9244
1875-919X