1. Aupy G et al (2015) Energy-aware algorithms for task graph scheduling, replica placement and checkpoint strategies. In: Handbook on data centers. Springer New York, New York, NY, Chap. 2, pp 37–80. ISBN: 978-1-4939-2092-1. https://doi.org/10.1007/978-1-4939-2092-12
2. Rocha I et al (2019) HEATS: heterogeneity- and energy-aware task-based scheduling. CoRR arXiv:1906.11321
3. Fedorova A et al (2009) Maximizing power efficiency with asymmetric multicore systems. In: Queue 7.10, pp 30–45. ISSN: 1542-7730. https://doi.org/10.1145/1647300.1658422
4. Le Sueur E, Heiser G (2010) Dynamic voltage and frequency scaling: the laws of diminishing returns. In: Proceedings of the 2010 international conference on power aware computing and systems. HotPower’10. USENIX Association, Vancouver, BC, Canada, pp 1–8
5. Saxe E (2010) Power-efficient software. In: Communication ACM 53.2, pp 44–48. ISSN: 0001-0782. https://doi.org/10.1145/1646353.1646370