Evaluating the potential of multithreaded platforms for irregular scientific computations
Jarek Nieplocha, Andrés Márquez, John Feo, Daniel Chavarría-Miranda, George Chin, Chad Scherrer, Nathaniel Beagley · 2007
The resurgence of current and upcoming multithreaded architectures and programming models led us to conduct a detailed study to understand the potential of these platforms to increase the performance of data-intensive, irregular scientific applications. Our study is based on a power system state estimation application and a novel anomaly detection application applied to network traffic data. We also conducted a detailed evaluation of the platforms using microbenchmarks in order to gain insight into their architectural capabilities and their interaction with programming models and application software. The evaluation was performed on the Cray MTA-2 and the Sun Niagar.