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

Kolmogorov-Arnold Networks (KANs) training and inference are accelerated by orders of magnitude through exploiting the structure of the uniform linear (C⁰) B-spline (see Fig. 1). Because the intervals ...

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 ...

Discord’s upcoming age-verification policy appears to be causing a surge in new users to Matrix, an open-source alternative. On Thursday, the messaging protocol’s co-founder, Matthew Hodgson, reported ...