Liang | Ascend AI Processor Architecture and Programming: Principles and Applications of Cann | Buch | 978-0-12-823488-4 | sack.de

Buch, Englisch, 308 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 630 g

Liang

Ascend AI Processor Architecture and Programming: Principles and Applications of Cann


Erscheinungsjahr 2020
ISBN: 978-0-12-823488-4
Verlag: ELSEVIER

Buch, Englisch, 308 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 630 g

ISBN: 978-0-12-823488-4
Verlag: ELSEVIER


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.

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Zielgruppe


System designers, programmers, application developers, and system software developers; Researchers in academia and industry specializing in artificial intelligence.


Autoren/Hrsg.


Weitere Infos & Material


1. Basic Theory2. Industry Background3. Hardware Architecture4. Software Architecture5. Programming Methods6. Case Studies


Liang, Xiaoyao
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.



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