Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

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 ...

This paper therefore aims to provide an insight on significance of performance and further, throw light on various matrix multiplication algorithms. The paper also puts forth a comparative analysis on ...