会议专题

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

第九届分布式计算及其应用国际学术研讨会

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)