Ascend AI Processor Architecture and Programming Principles and Applications of CANN by Xiaoyao Liang
By: Xiaoyao Liang
Publisher: Elsevier (S&T)
Print ISBN: 9780128234884, 0128234881
eText ISBN: 9780128234891, 012823489X
Copyright year: 2020
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
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