Towards Heterogeneous Multi-Core Systems-On-Chip for Edge Machine Learning: Journey from Single-Core Acceleration to Multi-Core Heterogeneous Systems
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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...
Format:Hardcover
Language:English
ISBN:3031382293
ISBN13:9783031382291
Release Date:September 2023
Publisher:Springer
Length:186 Pages
Weight:1.05 lbs.
Dimensions:0.5" x 6.1" x 9.2"
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