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Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Resistive random access memory (RRAM)-based hardware accelerators are playing an important role in the implementation of in-memory computing (IMC) systems for artificial intelligence applications. The ...

Dense-sparse matrix multiplication involves multiplying a matrix with mostly non-zero elements by a sparse matrix. This operation presents a mix of challenges, requiring both computational power and ...