Thomas Boesch

According to our database1, Thomas Boesch authored at least 8 papers between 2016 and 2025.

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

Timeline

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Links

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Bibliography

2025
NIMA: Near In-Memory High-Precision Accumulation Unit for Heterogeneous Analog/Digital Deep Learning Acceleration.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Multi-Mode Borderguard Controllers for Efficient On-Chip Communication in Heterogeneous Digital/Analog Neural Processing Units.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2023
A 40-310TOPS/W SRAM-Based All-Digital Up to 4b In-Memory Computing Multi-Tiled NN Accelerator in FD-SOI 18nm for Deep-Learning Edge Applications.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

2020
Runtime Design Space Exploration and Mapping of DCNNs for the Ultra-Low-Power Orlando SoC.
ACM Trans. Archit. Code Optim., 2020

2018
Design Space Exploration for Orlando Ultra Low-Power Convolutional Neural Network SoC.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

2017
14.1 A 2.9TOPS/W deep convolutional neural network SoC in FD-SOI 28nm for intelligent embedded systems.
Proceedings of the 2017 IEEE International Solid-State Circuits Conference, 2017

2016
Frame buffer-less stream processor for accurate real-time interest point detection.
Integr., 2016

The Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural Network ASIC.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016


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