Abstract: Matrix multiplication is fundamental to deep learning, scientific computation, and graph analytics. The prevalence of sparse matrices in these fields offers significant opportunities to ...

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...