ReRAM-based machine learning /

Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and strategies to map ML de...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Yu, Hao (Autor), Ni, Leibin (Autor), Pudukotai Dinakarrao, Sai Manoj (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Institution of Engineering & Technology 2021
Colección:IET computing series ; 39
Temas:
Machine learning.
Nonvolatile random-access memory.
Apprentissage automatique.
Ordinateurs > Mémoires vives non volatiles.
Machine learning
Nonvolatile random-access memory
AI chips.
compressed sensing.
learning (artificial intelligence)
resistive RAM.
Acceso en línea:Texto completo
Descripción
Sumario:Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and strategies to map ML designs onto hardware accelerators
Descripción Física:1 online resource illustrations
Bibliografía:Includes bibliographical references and index
ISBN:9781839530821
1839530820

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