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.

  • Presents the performance and attributes of the Huawei Ascend AI processor
  • Describes the software and hardware architecture of the Ascend processor
  • Lays out the elements of AI theory, processor architecture, and AI applications
  • Provides detailed case studies on data and algorithms for AI
  • Offers insights into processor architecture and programming to spark new AI applications
"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.

  • Presents the performance and attributes of the Huawei Ascend AI processor
  • Describes the software and hardware architecture of the Ascend processor
  • Lays out the elements of AI theory, processor architecture, and AI applications
  • Provides detailed case studies on data and algorithms for AI
  • Offers insights into processor architecture and programming to spark new AI applications
127.99 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

eBook

$127.99  $170.00 Save 25% Current price is $127.99, Original price is $170. You Save 25%.

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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.

  • Presents the performance and attributes of the Huawei Ascend AI processor
  • Describes the software and hardware architecture of the Ascend processor
  • Lays out the elements of AI theory, processor architecture, and AI applications
  • Provides detailed case studies on data and algorithms for AI
  • Offers insights into processor architecture and programming to spark new AI applications

Product Details

ISBN-13: 9780128234891
Publisher: Elsevier Science
Publication date: 07/29/2020
Sold by: Barnes & Noble
Format: eBook
Pages: 308
File size: 30 MB
Note: This product may take a few minutes to download.

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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