High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning.

Monte Carlo methods: Computational algorithms that utilise repeated random sampling to obtain numerical results, often used for integration, optimisation, and simulation of complex systems.

Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims to address ...

Approximated Matrix Multiplication (AMM) based on table look-ups can significantly reduce the pressure on computing units and memory bandwidth, and has great potential in large-scale machine learning ...

Classroom resources for teaching pupils at Key Stage 1 and Key Stage 2 in England, and Northern Ireland, Progression Steps 1, 2 and 3 in Wales and at 1st and 2nd Level in Scotland. This page is ...