Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
Abstract: Matrix multiplication (MM) has several applications in fields such as statistics, physics, economics, and computer science. For instance, the main computation behind deep neural networks ...
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