LAS16-TR04: Using tracing to tune and optimize EAS (English) Speakers: Leo Yan Date: September 28, 2016
★ Session Description ★ The Energy Aware Scheduler relies on a power model, rather than on heuristics, to make decisions and reduce power usage. As a result of this fact-based decision making EAS presents very few tunables and thus requires a significantly different approach to tuning and optimization when compared to the traditional tune/benchmark/repeat cycle. Tuning EAS has perhaps more similar to debugging: using trace tools such as ftrace, kernelshark and LISA, we can examine its decision making and look for ways to improve this decision making. This talk will offer a practical introduction to using these trace tools.
★ Resources ★ Etherpad: pad.linaro.org/p/las16-tr04 Presentations & Videos: http://connect.linaro.org/resource/las16/las16-tr04/