Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Abstract: Sparse Matrix-Matrix Multiplication(SpMM) is a commonly utilized operation in various domains, particularly in the increasingly popular Graph Neural Networks(GNN) framework. The current ...
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