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Viac informácií o knihe Towards Heterogeneous Multi-core System-on-Chips for Edge Machine Learning

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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Celý názov: Towards Heterogeneous Multi-core System-on-Chips for Edge Machine Learning
• Podnázov: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems
• Autor: Vikram Jain, Marian Verhelst
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 212
• EAN: 9783031382291
• ID: 43654722
• Nakladateľ: Springer, Berlin
• Hmotnosť: 476 g
• Rozmery: 235 × 155 mm
• Rok vydania: 2023

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