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Parallel Computing Applications and Financial Modelling
Author(s) -
Heather M. Liddell,
D. Parkinson,
G. S. Hodgson,
Peter Dzwig
Publication year - 2004
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2004/404575
Subject(s) - computer science , subroutine , massively parallel , portfolio , software , graphics , computational science , queen (butterfly) , mathematical finance , financial modeling , finance , graphics processing unit , computer graphics , parallel computing , software engineering , computer graphics (images) , programming language , hymenoptera , botany , economics , biology
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

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