Abstract: Sparse matrix-vector multiplication (SpMV) is crucial in many scientific and engineering applications, particularly concerning the effectiveness of different sparse matrix storage formats ...
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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