Georg Rutishauser

26 papers A 1C 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs.
ERF (1)
Lorenzo Lamberti, Georg Rutishauser, Francesco Conti, Luca Benini
2024 J jnl
Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs.
CoRR
Lorenzo Lamberti, Georg Rutishauser, Francesco Conti, Luca Benini
2024 J jnl
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems.
IEEE Access
Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
2024 J jnl
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing.
IEEE J. Solid State Circuits
Francesco Conti, Gianna Paulin, Angelo Garofalo, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
2024 — conf
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems.
ASAP
Georg Rutishauser, Joan Mihali, Moritz Scherer, Luca Benini
2024 J jnl
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems.
CoRR
Georg Rutishauser, Joan Mihali, Moritz Scherer, Luca Benini
2023 J jnl
7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks.
Future Gener. Comput. Syst.
Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini
2023 — conf
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.
ISSCC
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, Nils Exibard, Pascal Gouedo, Mathieu Louvat, Emmanuel Botte, Luca Benini
2023 — conf
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks.
ISVLSI
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
2023 J jnl
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks.
CoRR
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
2023 C conf
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications.
ISCAS
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
2023 J jnl
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications.
CoRR
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
2023 — conf
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras.
IWASI
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
2023 J jnl
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras.
CoRR
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
2023 J jnl
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems.
CoRR
Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
2023 — conf
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge.
AICAS
Georg Rutishauser, Francesco Conti, Luca Benini
2023 J jnl
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge.
CoRR
Georg Rutishauser, Francesco Conti, Luca Benini
2023 J jnl
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing.
CoRR
Francesco Conti, Gianna Paulin, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
2023 J jnl
TCN-CUTIE: A 1, 036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology.
IEEE Micro
Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini
2022 — conf
A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications.
COOL CHIPS
Moritz Scherer, Alfio Di Mauro, Georg Rutishauser, Tim Fischer, Luca Benini
2022 J jnl
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
2022 J jnl
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology.
CoRR
Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini
2022 A conf
Ternarized TCN for $\mu \mathrm{J}/\text{Inference}$ Gesture Recognition from DVS Event Frames.
DATE
Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini
2020 J jnl
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency.
CoRR
Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
2019 J jnl
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators.
CoRR
Lukas Cavigelli, Georg Rutishauser, Luca Benini
2019 J jnl
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Lukas Cavigelli, Georg Rutishauser, Luca Benini