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Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning Journey from Single-core Acceleration to Multi-core Heterogeneous Systems /

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 hard...

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Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Jain, Vikram (Author), Verhelst, Marian (Author)
Kaituhi rangatōpū:	SpringerLink (Online service)
Hōputu:	Tāhiko īPukapuka
Reo:	Ingarihi
I whakaputaina:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Putanga:	1st ed. 2024.
Ngā marau:	Electronic circuits. Embedded computer systems. Machine learning. Microprocessors. Computer architecture. Electronic Circuits and Systems. Embedded Systems. Machine Learning. Processor Architectures.
Urunga tuihono:	https://doi.org/10.1007/978-3-031-38230-7
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

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