[Zurück]

K. Moazzemi, A. Kanduri, D. Juhasz, A. Miele, A. Rahmani, P. Liljeberg, A. Jantsch, N. Dutt:
"Trends in On-Chip Dynamic Resource Management";
Vortrag: 21st Euromicro Conference on Digital System Design (DSD 2018), Prague, Czech Republic; 29.08.2018 - 31.08.2018; in: "Proceedings of the 2018 21st Euromicro Conference on Digital System Design", (2018), ISBN: 978-1-5386-7376-8; S. 62 - 69.

The Complexity of emerging multi/many-core architectures and diversity of modern workloads demands coordinated dynamic resource management methods. We introduce a classification for these methods capturing the utilized resources and metrics. In this work, we use this classification to survey the key efforts in dynamic resource management. We first cover heuristic and optimization methods used to manage resources such as power, energy, temperature, Quality-of-Service (QoS) and reliability of the system. We then identify some of the machine learning based methods used in tuning architectural parameters in computer systems. In many cases, resource managers need to enforce design constraints during runtime with a certain level of guarantee. Hence, we also study the trend in deploying formal control theoretic approaches in order to achieve efficient and robust dynamic resource management.

Bandwidth; Dynamic resource management; Dynamic scheduling; Measurement; On chip resource management; Power demand; Quality of service; Resource management; Task analysis; approximation; control theoretic; energy; heuristic resource management; life time

http://dx.doi.org/10.1109/DSD.2018.00025

Projektleitung Axel Jantsch:
Self-Aware CPSoCs with Hierarchical Goal Management