Design of Power Efficient FPGA based Hardware Accelerators for Financial Applications

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.