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: Reducing the number of antenna elements within a fixed aperture while maintaining low sidelobe levels is a key challenge in sparse array design. Although various sidelobe suppression ...
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