Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental routine in computational science and engineering. Its optimization methods on various homogeneous parallel processors, such as ...
Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
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