Storage and computation, or computation in storage, refers to the transformation of the traditional von Neumann architecture from a computation-centric design to a data storage-centric design, that is, the use of memory for data computation, thus avoiding the "storage wall" and "power wall" generated by data handling This avoids the "storage wall" and "power wall" generated by data handling, and greatly improves the parallelism and energy efficiency of data. This architecture is especially suitable for end devices requiring large computing power and low power consumption, such as wearable devices, mobile devices, smart homes, etc. 1. Limitations of the von Neumann architecture The first is performance. In the classical von Neumann architecture, data storage and computation are separated, and data is exchanged between processor CPU memory through the data bus. However, due to the different internal structures, processes, and packaging of
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