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- W2064202232 abstract "Using Field Programmable Gate Arrays (FPGAs) to accelerate financial derivative calculations is becoming very common. In this work, we implement an FPGA-based specific processor for European option pricing using Monte Carlo simulations, and we compare its performance and power dissipation to the execution on a CPU. The experimental results show that impressive results, in terms of speed-up and energy savings, can be obtained by using FPGA-based accelerators at expenses of a longer development time." @default.
- W2064202232 created "2016-06-24" @default.
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- W2064202232 date "2012-11-01" @default.
- W2064202232 modified "2023-09-27" @default.
- W2064202232 title "Design of power efficient FPGA based hardware accelerators for financial applications" @default.
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- W2064202232 doi "https://doi.org/10.1109/norchp.2012.6403096" @default.
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