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Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

von Marian Verhelst und Vikram Jain
Hardcover - 9783031382291
106,99 €
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Softcover - 9783031382321
106,99 €

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Weitere Formate

Softcover - 9783031382321
106,99 €

Beschreibung

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 hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.


Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

Details

Verlag Springer International Publishing
Ersterscheinung 17. September 2023
Maße 23.5 cm x 15.5 cm
Gewicht 489 Gramm
Format Hardcover
ISBN-13 9783031382291
Auflage 2024
Seiten 186

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