Power optimization of a single-core processor using LSTM based encoder–decoder model for online DVFS

Due to the interaction and interdependency between various hardware/software units and policies of the processors with application running on it, real-time embedded systems are quite complex in nature. Furthermore, smart adaptability of supply clock and voltage is required in order to optimize power...

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Veröffentlicht in:	Sadhana (Bangalore) Jg. 48; H. 2; S. 37
Hauptverfasser:	Thethi, Sukhmani Kaur, Kumar, Ravi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New Delhi Springer India 25.03.2023 Springer Nature B.V
Schlagworte:	Cloud computing Coders Datasets Deep learning Distance learning Electric potential Embedded systems Engineering Machine learning Memory Microprocessors Neural networks Optimization Real time Time series Trends Voltage Workload Workloads LSTM DNN encoder decoder power optimization Attention DVFS
ISSN:	0973-7677, 0256-2499, 0973-7677
Online-Zugang:	Volltext
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