£106.83

Chapman and Hall/CRC Domain-Specific Computer Architectures for Emerging Applications: Machine Learning and Neural Networks

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£106.83 £82.32 £87.67 £93.02 £98.36 £103.71 £109.06 01 January 2025 18 April 2025 04 August 2025 20 November 2025 08 March 2026

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43 days 42 days 15 days 31 days 27 days 180 days 37 days 57 days · current 0 45 90 135 180 £85 £86 £87 £90 £96 £98 £99 £107 Days at Price

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Most common price: £98 (180 days, 41.7%)

Price range: £85 - £107

Price levels: 8 different prices over 432 days

Description

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.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
31 May 2024
Listed Since
30 November 2023

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