GitHub

A Python demonstration of speeding up matrix multiplication and reducing memory using a quantum-inspired low-rank SVD trick, with examples in AI.

This repository demonstrates a powerful, classical linear algebra technique—low-rank approximation via Singular Value Decomposition (SVD)—to dramatically accelerate common matrix operations like GEMM ...
GitHub

Example codes of matrix multiplication with Intel AMX

int8-gemm-small.cpp: compute int8 matrix multiplication in small sizes int8-gemm-large.cpp: compute int8 matrix multiplication in large sizes bf16-gemm-small.cpp ...
IEEE

Inverse-Designed Photonic Computing Core for Parallel Matrix-Vector Multiplication

Abstract: On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and ...
C&EN

Thermodynamics Analysis of a Reaction-Diffusion Matrix Multiplication Computing Unit under the Linear Non-Equilibrium Regime

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...