This repository contains the source code for ML hardware architectures that 
    require nearly half the number of multiplier units to achieve the same 
    performance, by executing alternative inner-product algorithms that trade 
    nearly half the multiplications for cheap low-bitwidth additions, while still 
    producing identical output as the conventional inner product.