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.
Probabilistic error measure- ment for approximate circuit design: A novel approach.IEEE Access, 7:115592– 115605
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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.