Technical Report Number
Computational finance relies heavily on the use of Monte Carlo simulation techniques. However, Monte Carlo simulation is computationally very demanding. We demonstrate the use of architecturally diverse systems to accelerate the performance of these simulations, exploiting both graphics processing units and field-programmable gate arrays. Performance results include a speedup of 74× relative to an 8 core multiprocessor system (180× relative to a single processor core).
Singla, Naveen; Hall, Michael; Shands, Berkley; and Chamberlain, Roger D., "Financial Monte Carlo Simulation on Architecturally Diverse Systems" Report Number: WUCSE-2008-21 (2008). All Computer Science and Engineering Research.