Power, Energy, and Thermal Management for Clustered Manycores
Abstract:
Efficient and effective system-level power, energy, and thermal management are very important issues in modern computing systems, for which clustered architectures with multiple voltage islands are an expected compromise between global and per-core DVFS. In this dissertation, we focus on two of the most relevant problems for such architectures, specifically, optimizing performance under power/thermal constraints, and minimizing energy under performance constraints.
| Zugehörige Institution(en) am KIT | Institut für Technische Informatik (ITEC) |
| Publikationstyp | Hochschulschrift |
| Jahr | 2016 |
| Sprache | Englisch |
| Identifikator | URN: urn:nbn:de:swb:90-633077 KITopen ID: 1000063307 |
| Verlag | Karlsruhe |
| Umfang | VIII, 190 S. |
| Abschlussart | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Technische Informatik (ITEC) |
| Prüfungsdaten | 24.11.2016 |
| Referent/Betreuer | Prof. J. Henkel |
| Schlagworte | Power Management, Energy Management, Thermal Management, Manycores |