Abstract:One of the best solutions to the communication problems arising in artificial neural networks (ANNs), due to the high interconnectivity of neurons, is achleved through their implementation on systolic array architectures (SAAs). The case of systematical mapping policies from ANNs to SAAs, however, is little explored. In this work, an efficient mapping policy is explored, capable of implementing an ANN on the available fixed systolic array, while it still allows the exploitation of the training pattern pipeline… Show more
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