DocumentCode :
2987903
Title :
Hardware architectures for Monte-Carlo based financial simulations
Author :
Thomas, David B. ; Bower, Jacob A. ; Luk, Wayne
Author_Institution :
Dept. of Comput., Imperial Coll. London
fYear :
2006
fDate :
Dec. 2006
Firstpage :
377
Lastpage :
380
Abstract :
This paper presents a methodology and the results of implementing Monte-Carlo financial simulations in reconfigurable devices. Five different Monte-Carlo simulations are explored, including log-normal price movements, correlated asset value-at-risk calculation, and price movements under the GARCH model. Our results show that hardware implementations from our approach on a Xilinx Virtex-4 XC4VSX55 device run on-average 80 times faster than software on a 2.66GHz PC
Keywords :
Monte Carlo methods; field programmable gate arrays; financial data processing; microprocessor chips; reconfigurable architectures; 2.66 GHz; GARCH model; Monte-Carlo financial simulations; Xilinx Virtex-4 XC4VSX55 device; correlated asset value-at-risk calculation; hardware architectures; log-normal price movements; reconfigurable devices; Communication channels; Computational modeling; Computer architecture; Costs; Delay; Electronic equipment testing; Field programmable gate arrays; Hardware; Pricing; Random number generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field Programmable Technology, 2006. FPT 2006. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9729-0
Electronic_ISBN :
0-7803-9729-0
Type :
conf
DOI :
10.1109/FPT.2006.270352
Filename :
4042474
Link To Document :
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