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  • eBook:Deep In-memory Architectures for Machine Learning

    Deep In-memory Architectures for Machine Learning

    Mingu Kang; Sujan Gonugondla; Naresh R. Shanbhag
    978-3-030-35971-3
    2020
    Edition 1
    • Describes deep in-memory architectures for AI systems from first principles, covering both circuit design and architectures
    • Discusses how DIMAs pushes the limits of energy-delay product of decision-making machines via its intrinsic energy-SNR trade-off
    • Offers readers a unique Shannon-inspired perspective to understand the system-level energy-accuracy trade-off and robustness in such architectures
    • Illustrates principles and design methods via case studies of actual integrated circuit prototypes with measured results in the laboratory
    • Presents DIMA's various models to evaluate DIMA's decision-making accuracy, energy, and latency trade-offs with various design parameter

    €130

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