GTAC applies a generative Transformer with irredundant encoding and self-evolutionary training to produce approximate circuits that cut delay by 30.9% and gate count by 50.5% versus baselines while using far less memory.
A transformer that preserves logical equivalence.arXiv preprint arXiv:2403.13838, 2024
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GTAC: A Generative Transformer for Approximate Circuits
GTAC applies a generative Transformer with irredundant encoding and self-evolutionary training to produce approximate circuits that cut delay by 30.9% and gate count by 50.5% versus baselines while using far less memory.