Optimize the iteration scheme in CliffordNumbers.mul
for performance
#12
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There is a significant discrepancy in performance on hardware with SIMD if two differently-sized arguments are multliplied in reverse order: in general, larger first arguments result in slower runtimes because there are more loop iterations as opposed to vectorized operations. This change generates the syntax tree differently depending on argument size.
Perhaps in the future we can come up with a heuristic to optimize code generation even further. Additionally, I want to unify the cases so we don't have a lot of boilerplate code.