Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
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Abstract: Downlink precoding in massive multiple input multiple output (MIMO) systems involves high-dimensional sparse matrix calculations, which poses challenges to existing architectures.
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