Marian Verhelst: Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning, Kartoniert / Broschiert
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning
Buch
- Journey from Single-core Acceleration to Multi-core Heterogeneous Systems
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Aktueller Preis: EUR 90,66
- Verlag:
- Springer Nature Switzerland, 09/2024
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783031382321
- Artikelnummer:
- 11972792
- Umfang:
- 212 Seiten
- Nummer der Auflage:
- 2024
- Ausgabe:
- 2024
- Gewicht:
- 330 g
- Maße:
- 235 x 155 mm
- Stärke:
- 12 mm
- Erscheinungstermin:
- 18.9.2024
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
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.
Marian Verhelst, Vikram Jain
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning
Aktueller Preis: EUR 90,66