Accurate and Lightweight Run-time Power Estimation and Power Forecasting Models for Multi-core Processors
- Weitere Titel
-
Akkurate und sparsame Modelle für die Schätzung und Vorhersage der Verlustleistung von Mehrkernprozessoren
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2024
- Schlagwort
-
Leistungsbewertung
Neuronales Netz
Leistungsbedarf
Power-Management
Mathematisches Modell
- Ereignis
-
Veröffentlichung
- (wo)
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München
- (wer)
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Universitätsbibliothek der TU München
- (wann)
-
2024
- Urheber
-
Sagi, Mark Balazs Hilary
- Beteiligte Personen und Organisationen
-
Herkersdorf, Andreas
Henkel, Jörg
- URN
-
urn:nbn:de:bvb:91-diss-20240911-1734726-1-6
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Sagi, Mark Balazs Hilary
- Herkersdorf, Andreas
- Henkel, Jörg
- Universitätsbibliothek der TU München
Entstanden
- 2024
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