Ascend AI Processor Architecture and Programming: Principles and Applications of CANN
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei’s Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software and hardware design principles, system tools and programming techniques for the processor, laying out the elements of AI programming technology needed by researchers developing AI applications.

Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI.

1137033335
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei’s Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software and hardware design principles, system tools and programming techniques for the processor, laying out the elements of AI programming technology needed by researchers developing AI applications.

Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI.

170.0 In Stock
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN

by Xiaoyao Liang
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN

by Xiaoyao Liang

Paperback

$170.00 
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Overview

Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei’s Ascend chip, presenting and analyzing the unique performance and attributes of this processor. The title introduces the fundamental theory of AI, the software and hardware architecture of the Ascend AI processor, related tools and programming technology, and typical application cases. It demonstrates internal software and hardware design principles, system tools and programming techniques for the processor, laying out the elements of AI programming technology needed by researchers developing AI applications.

Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI.


Product Details

ISBN-13: 9780128234884
Publisher: Elsevier Science
Publication date: 07/27/2020
Pages: 308
Product dimensions: 7.50(w) x 9.25(h) x (d)

About the Author

Liang Xiaoyao is a Professor, Supervisor and Academic Leader in the Department of Computer Science and Engineering at Shanghai Jiaotong University, in China. He graduated from Harvard University in the USA, and has held roles at a number of international companies. His research interests include computer architecture, integrated circuit design, general graphics processors, and artificial intelligence chip architecture. He has published over 80 papers, and is a leader in the field.

Table of Contents

1. Basic Theory2. Industry Background3. Hardware Architecture4. Software Architecture5. Programming Methods6. Case Studies

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