G Rutishauser

ETH Zurich

Papers

1

Total Citations

2

H-Index

1

About

G. Rutishauser is a leading researcher in energy-efficient AI-IoT System-on-a-Chip (SoC) design, with a focus on heterogeneous RISC-V architectures for extreme edge computing. His most notable contribution is the Marsellus SoC, a groundbreaking heterogeneous platform that integrates 2-to-8 bit Deep Neural Network (DNN) acceleration with adaptive body biasing, achieving a 30% performance boost while operating within a few tens of milliwatts. This work directly addresses the critical challenge of running diverse, compute-intensive tasks—from augmented reality to nano-robotics—under stringent power constraints. Though emerging, his 2023 paper has already garnered 2 citations, signaling growing recognition in the field. Rutishauser’s research bridges the gap between high-performance AI inference and ultra-low-power operation, making him a key figure in the next generation of intelligent, autonomous edge devices. His work is essential reading for anyone interested in the future of energy-scalable computing for IoT and embedded AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: ETH Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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