Name: Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks (en Inglés)
SKU: 56124076
Price: 116.63 USD
Availability: InStock
Author: Wang Chao

portada Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks (en Inglés)

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Wang Chao

Idioma

Inglés

N° páginas

402

Encuadernación

Tapa Dura

ISBN13

9780367374532

N° edición

Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks (en Inglés)

Wang Chao (Autor) · Crc Press · Tapa Dura

Libro Nuevo Importado

Envío: 22 a 29 días háb.

$ 233.26$ 116.63

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 39 unidades

$ 116.63

Llega entre el 23 Sep y el 06 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks (en Inglés)"

With the end of Moore's Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application.DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures.Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas.