A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing
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DOI: 10.1109/lca.2019.2951507
Abstract: Neuromorphic hardware with non-volatile memory (NVM) can implement machine learning workload in an energy-efficient manner. Unfortunately, certain NVMs such as phase change memory (PCM) require high voltages for correct operation. These voltages are supplied from… read more here.
Keywords: workload specific; performance; specific performance; trade offs ... See more keywords