High-Performance Computing for Financial Planning under Uncertainty


Keywords: HPC, parallel processing, distributed systems, financial applications, uncertainty management

Start Date: 1 April 96 / Duration: 30 months

[ participants / contact]

Objectivies and Approach

Planning under uncertainty is central to most human endeavours, for example, in planning a nation's utilisation of energy, in planning and constructing transportation or telecommunication networks, in planning the provision of manufactured goods or services. The problem has a special relevance in the world of finance: not only is this world highly volatile, but coping with this uncertainty has an effect on the efficiency of the financial systems with immediate impacts on the economy. Problems of planning under uncertainty are complex and difficult to build, as they require the integration of stochastic models and simulations for describing the uncertainty with deterministic models for developing plans.

High performance computing (HPC) - parallel and distributed - can play a key role in allowing to develop, implement and test models for this problem class. This project has three major objectives:

Funds of this project will also be used to lay the foundations for a HPC facility at the newly established University of Cyprus to support multi-disciplinary research.


University of Cyprus
Dep. of Public and Business Administration
75 Kallipoleos Street, PO Box 537
Nicosia, CY

EU Partners

University of Bergamo, I
University of Calabria, I
University of Napoli, I
University of Essex, UK

Non-EU Partners

University of Cyprus, CY
University of Charles, Prague, CZ


Prof. Stavros Zenios
Tel: +357 2 338 762 - 357 2 338 763
Fax: +357 2 339 063
E-mail: zenioss@atlas.pba.ucy.ac.cy

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HPC-FINANCE - INCO-DC95-1139, May 1997

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html version of synopsis by Nick Cook