Abstract: Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall problem in hardware accelerator design for deep learning. The input vector and weight matrix multiplication ...
Compute-in-memory (CIM) is being widely explored to minimize power consumption related to data movement and multiply-and-accumulate (MAC) operations for AI edge devices. Compared to analog based CIMs, ...
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