Financial modeling on the cell broadband engine

High performance computing is critical for financial markets where analysts seek to accelerate complex optimizations such as pricing engines to maintain a competitive edge. In this paper we investigate the performance of financial workloads on the Sony-ToshibaIBM Cell Broadband Engine, a heterogeneous multicore chip architected for intensive gaming applications and high performance computing. We analyze the use of Monte Carlo techniques for financial workloads and design efficient parallel implementations of different high performance pseudo and quasi random number generators as well as normalization techniques. Our implementation of the Mersenne Twister pseudo random number generator outperforms current Intel and AMD architectures by over an order of magnitude. Using these new routines, we optimize European Option (EO) and Collateralized Debt Obligation (CDO) pricing algorithms. Our Cell-optimized EO pricing achieves a speedup of over 2 in comparison with using RapidMind SDK for ...

• Type: Conference
• Year: 2008
• Where: IPPS
• Authors: Virat Agarwal, Lurng-Kuo Liu, David A. Bader
• Keywords: Distributed And Parallel Computing, IPPS 2008, Pseudo Random Number Generator, Random Number Generator, financial Workloads