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.
"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"--
Book Synopsis
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.
Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .65 Inches (D)
Weight: 1.18 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 308
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Publisher: Elsevier
Format: Paperback
Author: Xiaoyao Liang
Language: English
Street Date: July 27, 2020
TCIN: 1005878892
UPC: 9780128234884
Item Number (DPCI): 247-37-6558
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.65 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.18 pounds
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