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    Ascend AI Processor Architecture and Programming

    Ascend AI Processor Architecture and Programming

    - Principles and Applications of CANN

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    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    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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  • Vægt630 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Perception Soc TBE Programming Software architecture ai Application development Artificial intelligence TensorFlow CPU System on Chip Process Orchestration FPGA PyTorch Inference engine Caffé Convolutional Neural Network Accuracy Image Classification Model generation Object Detection Runtime Deep learning: GPU CNN Neural network Evaluation Criteria Energy Efficiency Ratio MindSpore Digital vision preprocessing DaVinci architecture Hardware Architecture Huawei ascend AI processor DVPP Mean average precision Framework manager TPU TVM Model migration Operator development Mind studio Task scheduler Throughput and latency Tensor boost engine
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