Abstract: We present a hardware-efficient accelerator for Spiking Neural Networks (SNNs) based on a generalized Strassen Matrix Multiplication (SMM) algorithm. By adapting the classical Strassen ...
We introduce Grokkit, a theoretical and computational framework that formulates neural network weight spaces as geometric manifolds governed by the Fisher-information metric. Within this formalism, ...
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 ...
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