Towards Heterogeneous Multi Core Systems On Chip For Edge Machine Learning

Download Towards Heterogeneous Multi Core Systems On Chip For Edge Machine Learning full books in PDF, epub, and Kindle. Read online free Towards Heterogeneous Multi Core Systems On Chip For Edge Machine Learning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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.


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

Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning
Language: en
Pages: 199
Authors: Vikram Jain
Categories: Technology & Engineering
Type: BOOK - Published: 2023-09-15 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-ef
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Language: en
Pages: 481
Authors: Sudeep Pasricha
Categories: Technology & Engineering
Type: BOOK - Published: 2023-10-09 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering di
Multi-Processor System-on-Chip 1
Language: en
Pages: 320
Authors: Liliana Andrade
Categories: Computers
Type: BOOK - Published: 2021-03-24 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A Multi-Processor System-on-Chip (MPSoC) is the key component for complex applications. These applications put huge pressure on memory, communication devices an
Edge Learning for Distributed Big Data Analytics
Language: en
Pages: 232
Authors: Song Guo
Categories: Computers
Type: BOOK - Published: 2022-02-10 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine l
Circuits and Systems Advances in Near Threshold Computing
Language: en
Pages: 120
Authors: Sanghamitra Roy
Categories: Technology & Engineering
Type: BOOK - Published: 2021-05-11 - Publisher: MDPI

DOWNLOAD EBOOK

Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existe