Abstract: Computing-in-memory (CIM) architecture is a promising approach to breaking the bottleneck in von Neumann’ architecture. To shed light on large matrix operations in flash-based CIM with ...
Abstract: One promising approach to mitigating the computational complexity of deep neural networks is to leverage the sparsity of input activations that results from the application of the ReLU ...
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