Abstract
The efficient design of multiplierless implementations
of constant matrix multipliers is challenged by the
huge solution search spaces even for small scale
problems. Previous approaches tend to use hill-climbing
algorithms risking sub-optimal results. The proposed
algorithm avoids this by exploring parallel solutions.
The computational complexity is tackled by modelling
the problem in a format amenable to genetic programming
and hardware acceleration. Results show an improvement
on state of the art algorithms with future potential
for even greater savings.
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