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 ...
Abstract: Leveraging sparsity in deep neural network (DNN) models holds significant promise for accelerating model inference. However, current GPUs can only harness sparsity in model weights, leaving ...
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