DocumentCode :
3503104
Title :
Parallel Option Pricing with BSDE Method on GPU
Author :
Bin Dai ; Peng, Ying ; Bin Gong
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear :
2010
fDate :
1-5 Nov. 2010
Firstpage :
191
Lastpage :
195
Abstract :
The development of the hardware changes program structure. Now the Graphic Processing Unit (GPU) has evolved into an extremely flexible, powerful and cost-efficient processor, which is specialized for compute intensive, massively data parallel computation. In the field of financial derivatives pricing and risk management, the Backward Stochastic Differential Equation (BSDE) is a robust tool. The aim of this paper is the efficient use of GPU acceleration for option pricing with BSDEs. Experimental results show that a GPU can achieve a superior performance, greater than 230×, compared with the CPU-only case.
Keywords :
coprocessors; differential equations; financial management; parallel algorithms; pricing; risk management; stochastic processes; BSDE method; GPU; backward stochastic differential equation; financial derivatives pricing; graphic processing unit; parallel option pricing; risk management; BSDE; GPU; High Performance Computing; Option Pricing; Parallel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid and Cooperative Computing (GCC), 2010 9th International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9334-0
Electronic_ISBN :
978-0-7695-4313-0
Type :
conf
DOI :
10.1109/GCC.2010.47
Filename :
5662503
Link To Document :
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