Повышение долговечности энергонезависимой памяти во встраиваемых системах: На основе оптимизированного машинного обучения и методов сжатия: Na osnowe ... mashinnogo obucheniq i metodow szhatiq
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Для анализа и сжатия рабочих нагрузок используется модель динамического сжатия шаблонов на основе Instruction Per Cycle, а также модель адаптивного обучения Workload Hybrid Energy для категоризации и дальнейшего сжатия данных для хранения. Книга предлагает решение для повышения выносливости NVRAM, которая имеет решающее значение для производительности встраиваемых устройств, за счет прогнозирования рабочей нагрузки и эффективного сжатия.
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