Computing with memory (or in-memory computing, IMC) is a paradigm that performs computations directly within memory arrays (RAM, RRAM, PCM) rather than transferring data to a separate CPU, significantly reducing energy consumption and latency. It addresses the von Neumann bottleneck by enabling data-parallel operations, such as for neural networks and big data analytics, at speeds up to thousands of times faster than traditional storage methods.
Computing with memory (or in-memory computing, IMC) is a paradigm that performs computations directly within memory arrays (RAM, RRAM, PCM) rather than transferring data to a separate CPU, significantly reducing energy consumption and latency. It addresses the von Neumann bottleneck by enabling data-parallel operations, such as for neural networks and big data analytics, at speeds up to thousands of times faster than traditional storage methods.
Source: Wikipedia "Computing with memory" · CC BY-SA 4.0
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