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 ...

Abstract: For many scientific applications, dense matrix multiplication is one of the most important and computation intensive linear algebra operations. An efficient matrix multiplication on high ...

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, ...

This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...