Könyv Towards Heterogeneous Multi-core System-on-Chips for Edge Machine Learning Vikram Jain

Towards Heterogeneous Multi-core System-on-Chips for Edge Machine Learning

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

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
48 984 Ft
This book explores and motivates the need for building homogeneous and heterogeneous multi-core syst...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2023
oldal
212
EAN
9783031382291
Enbook ID
43654722
Súly
476
Méretek
155 x 235

Teljes leírás

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.

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