Parallel computing in economics, finance and decision-making
Parallel Computing - Special issue on parallel computing in economics, finance and decision-making
MobiMine: monitoring the stock market from a PDA
ACM SIGKDD Explorations Newsletter
Mobile commerce: framework, applications and networking support
Mobile Networks and Applications
Parallel and Distributed Computing Issues in Pricing Financial Derivatives through Quasi Monte Carlo
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Multithreaded Algorithms for Pricing a Class of Complex Options
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Distributed Quasi-Monte Carlo Algorithm for Option Pricing on HNOWs Using mpC
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
A second order L0 stable algorithm for evaluating European options
International Journal of High Performance Computing and Networking
High performance computing for a financial application using fast fourier transform
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
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Computational requirements for solving models of financial derivatives, for example, the option pricing problems, are huge and demand efficient algorithms and high performance computing capabilities. This demand has been rekindled by the recent developments in the mobile technology making wireless trading a possibility. In this paper, we focus on the development of a Monte-Carlo algorithm on a modern multi-core chip architecture, Cyclops-64 (C64) under development at IBM as the experimental platform for our study in pricing options. The timing results on C64 show that various sets of simulations could be done in a real-time fashion while yielding high performance/price improvement over traditional microprocessors for finance applications.