Resistive RAM (ReRAM) Computing-in-Memory IP Macro for Machine Learning

Resistive RAM (ReRAM) Computing-in-Memory IP Macro for Machine Learning
by Tom Dillinger on 03-18-2021 at 6:00 am

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The term von Neumann bottleneck is used to denote the issue with the efficiency of the architecture that separates computational resources from data memory.   The transfer of data from memory to the CPU contributes substantially to the latency, and dissipates a significant percentage of the overall energy associated with … Read More