What it does

Our approach is based in angle section clustering. We first compute the angle of all pins w.r.t. the driver pins position. Then we cluster in groups of equal size considering angle similarity. We finally create a chain for all pins in every section

Challenges we ran into

Optimization considering a lot of data Presence of different pin densities in nanochips

Accomplishments that we're proud of

We did not follow any standard approach, as we did not use graphs neither classical clustering methods

What's next for Nano-Pin

Chain construction inside might be improved When creating equal sections, we could test a total distance concept, instead of just the number of pins

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