Performance

Multithreaded programs express a complex non-linear de-pendency between their configuration and the performance. To better understand this dependency performance predic-tion models are used. However, building performance mod-els manually is time-consuming and error-prone. We present a novel methodology for automatically building performance models of industrial multithreaded programs