Goal of the exercises is to deepen the understanding of the concepts presented in the lecture and to apply them in the real world. Therefore, the literature is discussed in more detail and parts of the content of the lecture are implemented and evaluated from the students as part of the assignments.
By implementing energy-aware software, energy models, and conducting energy measurements by oneself, the understanding and problems of energy-related topics should be conveyed. Particularly, the cross-cutting nature of energy, including the consideration of both software and hardware, is an important insight.
Included topics are:
- Energy and power measurements
- Energy attribution
- Measurement precision and accuracy
- Energy models
- Energy-related optimisations
- Energy efficiency metrics
- Race-to-sleep and Crawl-to-sleep
Exercises will be held online via video conferences if the Corona-virus situation does not allow face-to-face meetings. If face-to-face meetings are possible, we will meet in one of the computer pools. Details about the organisation will be provided in the first lecture.
Exercises will deepen and complement the contents of the lecture. More specifically, the research papers presented in the lecture will be discussed in more detail and important knowledge for upcoming assignments is given.
Part of the course is the submission of three assignments.
Assignments are submitted in groups of two students, which are formed at the beginning of the course.
For each group a Gitlab repository and for each student a project dir (
/proj/i4easy/<login>) is provided.
After the assignment deadline, the submissions are retrieved from the repositories and each group presents its submission.
QuestionsQuestions can be always asked and discussed in the exercises.
Another possibility is the mailing list email@example.com, which contains all students.
For questions only concerning the tutors the mailing list firstname.lastname@example.org can be used.
Energy-Aware Computing Systems (Exercises) (EASY-Ex)
- Benedict Herzog, M. Sc., Stefan Reif, M. Sc.
für Gasthörer zugelassen, Energy-Aware Computing Systems will take place as a virtual course this year. For further information see the course website: https://www4.cs.fau.de/Lehre/SS20/V_EASY/
- Studienfächer / Studienrichtungen
- WPF INF-BA-V-VSB ab 5
WPF INF-MA ab 1