University of Texas at Arlington
Increasing sizes of benchmarks make detailed simulation an extremely time consuming process. Statistical techniques such as the SimPoint methodology have been proposed in order to address this problem during the initial design phase. The SimPoint methodology attempts to identify repetitive, long, large-grain phases in programs and predict the performance of the architecture based on its aggregate performance on the individual phases. This paper attempts to compare accuracy of the SimPoint methodology for the SPEC CPU 2006 benchmark suite with that of SPEC CPU 2000 and to study the large-grain phases in the two benchmark suites using the SimPoint methodology.