The Applications and Trends of High Performance Computing in Finance

Author

Hong, Li ; Lu Zhong-hua ; Chi Xue-bin

Author_Institution

Supercomput. Center, Chinese Acad. of Sci., Beijing, China

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

193

Lastpage

197

Abstract

Large-scale parallel simulation and modeling have changed our world. Today, supercomputers are not just for research and scientific exploration; they have become an integral part of many industries, among which finance is one of the strongest growth factors for supercomputers, driven by ever increasing data volumes, greater data complexity and significantly more challenging data analysis. In this paper, a modest application of the developments of high-performance computing in finance is studied deeply. Attentions are not only focused on the what benefits the parallel algorithm bring to the financial research, but also on the practical applications of the High-Performance Computing in real financial markets, especially some recent advances is highlighted. On that basis, some suggestions about the challenges and development directions of HPCs in finance are proposed.

Keywords

data analysis; financial data processing; parallel algorithms; stock markets; HPCs; data analysis; data complexity; data volumes; financial markets; high performance computing; industries; parallel algorithm; parallel modeling; parallel simulation; scientific exploration; supercomputers; Biological system modeling; Computational modeling; Finance; Mathematical model; Portfolios; Pricing; Stochastic processes; High-Performance Computing; dynamic portfolio; options pricing; risk management; supercomputing in finance;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-7539-1

Type

conf

DOI

10.1109/DCABES.2010.45

Filename

5572075