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Ascend AI Processor Architecture and Programming: Principles and Applications of CANN Liang, Xiaoyao (Professor, Supervisor and Academic Leader, Department of Computer Science and Engineering, Shanghai Jiaotong University, China)
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Ascend AI Processor Architecture and Programming: Principles and Applications of CANN
Liang, Xiaoyao (Professor, Supervisor and Academic Leader, Department of Computer Science and Engineering, Shanghai Jiaotong University, China)
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.
308 pages, Approx. 147 illustrations; Illustrations, unspecified
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | July 27, 2020 |
| ISBN13 | 9780128234884 |
| Publishers | Elsevier Science Publishing Co Inc |
| Pages | 308 |
| Dimensions | 191 × 235 × 17 mm · 535 g |
| Language | English |
