FAME: FAirly MEasuring Multithreaded Architectures
Javier Mauricio Reyes Vera, Francisco Javier Cazorla, Alex Pajuelo, Oliverio J. Santana, Enrique José Nieto Fernández, Mateo Valero · Proceedings of the ... Conference on Parallel Architectures and Compilation Techniques/Proceedings of the Conference on Parallel Architectures and Compilation Techniques · 2007
Nowadays, multithreaded architectures are becoming more and more popular. In order to evaluate their behavior, several methodologies and metrics have been proposed. A methodology defines when the measurements of a given workload execution are taken. A metric combines those measurements to obtain a final evaluation result. However, since current evaluation methodologies do not provide representative measurements for these metrics, the analysis and evaluation of novel ideas could be either unfair or misleading. Given the potential impact of multithreaded architectures on current and future processor designs, it is crucial to develop an accurate evaluation methodology for them. This paper presents FAME, a new evaluation methodology aimed to fairly measure the performance of multithreaded processors. FAME re-executes all traces in a multithreaded workload until all of them are fairly represented in the final measurements taken from the workload. We compare FAME with previously used methodologies for both architectural research simulators and real processors. Our results show that FAME provides more accurate measurements than other methodologies, becoming an ideal evaluation methodology to analyze proposals for multithreaded architectures.