These factors greatly increase the complexity of algorithm design and challenge traditional ways of thinking about the design of parallel and distributed algorithms. Here, we review recent work on ...

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 ...