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 ...
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Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Numerical computation and mathematical software form the backbone of modern scientific inquiry, facilitating the approximation of real numbers, the solution of complex mathematical models, and the ...
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 ...
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