Abstract

While cycle-level, full-system architecture simulation tools are capable of estimating performance at arbitrary accuracy, the time to simulate an entire application is usually prohibitive. Moreover, simulating multi-threaded applications further exacerbates this problem as most simulation tools are single-threaded. Recently, statistical sampling techniques, such as SMARTS, have managed to bring down the simulation time significantly by making it possible to only simulate about 1 % of the code with sufficient accuracy. However, thousands of simulation points throughout the benchmark must still be simulated. First of all, we propose to use the well-established statistical method matched-pair comparison and motivate why this will bring down the number of simulation points needed to achieve a given accuracy. We apply it to singleprocessor

Citations