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 ...
Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
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