Basket Option Pricing Using GP-GPU Hardware Acceleration
We introduce a basket option pricing problem arisen in financial mathematics. We discretized the problem based on the alternating direction implicit (ADI) method and parallel cyclic reduction is applied to solve the set of tridiagonal matrices generated by the ADI method. To reduce the computational time of the problem, a general purpose graphics processing units (GP-GPU) environment is considered. Numerical results confirm the convergence and efficiency of the proposed method.
component option basket option ADI method GP-GPU GPU CUDA
Craig C. Douglas Hyoseop Lee
School of Energy Resources and Mathematics Department University of Wyoming Laramie, Wyoming 82071-3 Mathematics Department University of Wyoming Laramie, Wyoming 82071-3036, USA
国际会议
香港
英文
46-49
2010-08-12(万方平台首次上网日期,不代表论文的发表时间)