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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