Ascend AI Processor Architecture and Programming : Principles and Applications of CANN /
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 hard...
| Main Authors: | , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
Amsterdam : Elsevier,
2020
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/book/9780128234884 |
| _version_ | 1826472324269867008 |
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| author | Liang, Xiaoyao, author 651638 ScienceDirect (Online service) 7722 |
| author_facet | Liang, Xiaoyao, author 651638 ScienceDirect (Online service) 7722 |
| author_sort | Liang, Xiaoyao, author 651638 |
| collection | OCEAN |
| description | 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. |
| first_indexed | 2024-03-05T17:16:46Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:604053 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:16:46Z |
| publishDate | 2020 |
| publisher | Amsterdam : Elsevier, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6040532023-10-25T07:13:33ZAscend AI Processor Architecture and Programming : Principles and Applications of CANN / Liang, Xiaoyao, author 651638 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 Amsterdam : Elsevier,2020©2020engAscend 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.Includes index.1. Basic Theory -- 2. Industry Background -- 3. Hardware Architecture -- 4. Software Architecture -- 5. Programming Methods -- 6. Case Studies -- IndexAscend 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.Artificial intelligenceArtificial intelligenceArtificial intelligenceArtificial intelligenceMicroprocessorshttps://www.sciencedirect.com/book/9780128234884URN:ISBN:9780128234884Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Artificial intelligence Artificial intelligence Artificial intelligence Artificial intelligence Microprocessors Liang, Xiaoyao, author 651638 ScienceDirect (Online service) 7722 Ascend AI Processor Architecture and Programming : Principles and Applications of CANN / |
| title | Ascend AI Processor Architecture and Programming : Principles and Applications of CANN / |
| title_full | Ascend AI Processor Architecture and Programming : Principles and Applications of CANN / |
| title_fullStr | Ascend AI Processor Architecture and Programming : Principles and Applications of CANN / |
| title_full_unstemmed | Ascend AI Processor Architecture and Programming : Principles and Applications of CANN / |
| title_short | Ascend AI Processor Architecture and Programming : Principles and Applications of CANN / |
| title_sort | ascend ai processor architecture and programming principles and applications of cann |
| topic | Artificial intelligence Artificial intelligence Artificial intelligence Artificial intelligence Microprocessors |
| url | https://www.sciencedirect.com/book/9780128234884 |
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