Taking Advantages of Tributed Computing in the G Pu

Taking advantages of tributed computing in the g pu opens up a lot of elastic potential. So unlike other, maybe, let's say, machine learning methods, or other types of model building methods, why oftentimes you're going to lose some fidelity. But in this particular case, these are exact methods. When it says that it is computing a one nearest neighbor, you have very exact confidence that the one nearest neighbour that it finds is the nearest one and nothing else should be closer.