SELECT t.* FROM class_faq t WHERE t.class_id = '202' AND t.online = 'Y' AND t.verify = 'Y' ORDER BY t.make_time ASC Low Power Optimization for Edge Computing Artificial Intelligence Chips-ATP Course Database System|Ministry of Education Talent Cultivation Project for Intelligent Chip and Design Allience
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Low Power Optimization for Edge Computing Artificial Intelligence Chips

Last Updated Date 2023-11-27
  • Course Sorts:Moe Talent Cultivation Project for Advanced IC Design112年度
  • Course Introduction:
  • Edge AI Chip Power Optimization (Algorithm-level)
    a.      Power optimization in FinFET process
    b.      Introduction to Edge AI applications
    c.      Quantization, Retraining methods, and Accuracy trade-off
    d.      Memory power optimization

    Edge AI Chip Power Optimization (EDA flow with Generic process)
    a.      Clock Gating, minPower Components, and RTL-code writing style
    b.      Simulation and Power Analysis (RTL and Gate-level)
  • Course Introduction Video:

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