Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding.
On-Chip Training NPU - Algorithm, Architecture and SoC Design
RRP:
$298.00
Description
Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding.
This book deals with a practical approach to defining a system on a chip (SoC) architecture. It is written by practicing industry experts with cumulative five decades of hands-on experience. The book...
Increasing system complexity has created a pressing need for better design tools and associated methodologies and languages for meeting the stringent time to market and cost constraints...
This book provides a comprehensive overview of the VLSI design process. It covers end-to-end system on chip (SoC) design, including design methodology, the design environment, tools, choice of design...
This book covers key concepts in the design of 2D and 3D Network-on-Chip interconnect. It highlights design challenges and discusses fundamentals of NoC technology, including architectures,...
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