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Ascend AI Processor Architecture and Programming
Principles and Applications of CANN
Presents information and solutions on the hardware and software architecture of the Huawei Ascend AI processor
Xiaoyao Liang (Author)
9780128234884, Elsevier Science
Paperback, published 27 July 2020
308 pages, Approx. 147 illustrations
23.4 x 19 x 2 cm, 0.63 kg
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.
1. Basic Theory2. Industry Background3. Hardware Architecture4. Software Architecture5. Programming Methods6. Case Studies
Subject Areas: Artificial intelligence [UYQ]
