Maximally equidistributed combined Tausworthe generators
Mathematics of Computation
Multilevel Monte Carlo Path Simulation
Operations Research
A New Hardware Efficient Inversion Based Random Number Generator for Non-uniform Distributions
RECONFIG '10 Proceedings of the 2010 International Conference on Reconfigurable Computing and FPGAs
On Comparing Financial Option Price Solvers on FPGA
FCCM '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines
Energy efficient acceleration and evaluation of financial computations towards real-time pricing
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
A multi-level Monte Carlo FPGA accelerator for option pricing in the Heston model
Proceedings of the Conference on Design, Automation and Test in Europe
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In this paper, we present an in-depth investigation of the algorithmic parameter influence for barrier option pricing with the Heston model. For that purpose we focus on single- and multi-level Monte Carlo simulation methods. We investigate the impact of algorithmic variations on simulation time and energy consumption, giving detailed measurement results for a state-of-the-art 8-core CPU server and a Nvidia Tesla C2050 GPU. We particularly show that a naive algorithm on a powerful GPU can even increase the energy consumption and computation time, compared to a better algorithm running on a standard CPU. Furthermore we give preliminary results of a dedicated FPGA implementation and comment on the speedup and energy saving potential of this architecture.