Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning Journey from Single-core Acceleration to Multi-core Heterogeneous Systems /

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hard...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jain, Vikram (VerfasserIn), Verhelst, Marian (VerfasserIn)
Körperschaft:	SpringerLink (Online service)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Ausgabe:	1st ed. 2024.
Schlagworte:	Electronic circuits. Embedded computer systems. Machine learning. Microprocessors. Computer architecture. Electronic Circuits and Systems. Embedded Systems. Machine Learning. Processor Architectures.
Online-Zugang:	https://doi.org/10.1007/978-3-031-38230-7
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