Abstract: This paper addresses the significant challenge of executing inference tasks involving General Matrix Multiplication (GEMM) in deep neural networks(DNN) on resource-constrained edge systems.
Abstract: Deep learning models rely heavily on matrix multiplication, which is computationally expensive and memory-intensive. Sparse matrices, which contain a high proportion of zero elements, offer ...
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