Tim Fischer

Orcid: 0009-0007-9700-1286

Affiliations:
  • ETH Zurich, Integrated System Laboratory, Zürich, Switzerland


According to our database1, Tim Fischer authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks.
Future Gener. Comput. Syst., December, 2023

FlooNoC: A Multi-Tb/s Wide NoC for Heterogeneous AXI4 Traffic.
IEEE Des. Test, December, 2023

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, 2023

FlooNoC: A Multi-Tbps Wide NoC for Heterogeneous AXI4 Traffic.
CoRR, 2023

ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Sparse Hamming Graph: A Customizable Network-on-Chip Topology.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology.
CoRR, 2022

Ternarized TCN for $\mu \mathrm{J}/\text{Inference}$ Gesture Recognition from DVS Event Frames.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2022

MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores.
Proceedings of the 29th IEEE Symposium on Computer Arithmetic, 2022

2019
Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime.
Proceedings of the IEEE Sensors Applications Symposium, 2019


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