Gianna Paulin
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Designer for following chips
Publications related to the chips in the gallery
- Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini, "Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference", In IEEE Custom Integrated Circuits Conference (CICC), 2018, DOI: 10.1109/CICC.2018.8357068
- Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini, "Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference", in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no. 1, pp. 244-257, Jan. 2022, DOI: 10.1109/TCSI.2021.3099716
- Francesco Conti, Davide Rossi, Gianna Paulin, Angelo Garofalo, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Vincent Huard, Olivier Montfort, Lionel Jure, N. Exibart, Pascal Gouedo, Mathieu Louvat, E. Botte, Luca Benini, "A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing", International Solid-State Circuits Conference (ISSCC 2023)
- Luca Bertaccini, Gianna Paulin, Tim Fischer, Stefan Mach, Luca Benini, "MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores", 2022 IEEE 29th Symposium on Computer Arithmetic (ARITH), Lyon, France, 2022, pp. 1-8, DOI: 10.1109/ARITH54963.2022.00010