Towards Heterogeneous Multi Core Systems On Chip For Edge Machine Learning

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

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning
Author :
Publisher : Springer Nature
Total Pages : 199
Release :
ISBN-10 : 9783031382307
ISBN-13 : 3031382307
Rating : 4/5 (307 Downloads)

Book Synopsis Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning by : Vikram Jain

Download or read book Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning written by Vikram Jain and published by Springer Nature. This book was released on 2023-09-15 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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