A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications

Moritz Scherer, Alfio Di Mauro, Georg Rutishauser, Tim Fischer, Luca Benini. A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications. In IEEE Symposium in Low-Power and High-Speed Chips, COOL CHIPS 2022, Tokyo, Japan, April 20-22, 2022. pages 1-3, IEEE, 2022. [doi]

Abstract

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