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\iteman{io-port 05977457}
\itemau{de Schryver, Christian; Jung, Matthias; Wehn, Norbert; Marxen, Henning; Kostiuk, Anton; Korn, Ralf}
\itemti{Energy efficient acceleration and evaluation of financial computations towards real-time pricing.}
\itemso{K\"onig, Andreas (ed.) et al., Knowledge-based and intelligent information and engineering systems. 15th international conference, KES 2011, Kaiserslautern, Germany, September 12--14, 2011. Proceedings, Part IV. Berlin: Springer (ISBN 978-3-642-23865-9/pbk). Lecture Notes in Computer Science 6884. Lecture Notes in Artificial Intelligence, 177-186 (2011).}
\itemab
Summary: Modern financial markets are as vivid as never before. Asset prices -- and therefore the prices of all related financial products -- change within several milliseconds nowadays. However, not only due to the financial crisis in 2008, calculating fair and meaningful prices for these products is much more important than in the past. In order to obtain reliable prices, sophisticated simulation models have to be used. Pricing in these models in general has a very high computational complexity and can in many cases only be approximately done by using numerical methods. On the other hand, we all know that energy costs will become more and more significant in the future. The gap between the increasing computational complexity and the consumed energy can only be bridged by using more tailored computation engines, like dedicated hardware accelerators or application specific instruction set processors (ASIPs). In this paper we present a comprehensive methodology for the efficient design of optimal hardware accelerators and the evaluation thereof. We give two case studies: a new hardware random number generator for arbitrary distributions and a dedicated hardware accelerator for calculating European barrier option prices.
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\itemli{doi:10.1007/978-3-642-23866-6\_19}
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