Below is a non-exhaustive list of academic research that has been carried out on GAP8 and GAP9 concentrating mostly on papers that are looking at various neural network topics running on GAP processors. Some of the research uses our toolchain and some uses alternative academic toolchains. If you think your paper should be listed here please contact us.

EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems

Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sandor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini
28 Aug 2023

ETH Zurich, University of Bologna, Aarhus University Hospital, Lausanne University Hospital, University of Modena and Reggio Emilia, Danish Epilepsy Centre

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Drone navigation and license place detection for vehicle location in indoor spaces

Moa Arvidsson, Sithichot Sawirot, Cristofer Englund, Fernando Alonso-Fernandez, Martin Torstensson, Boris Duran
19 Jul 2023

Halmstad University, Sweden

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Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems

Julian Moosmann, Hanna Mueller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
12 Jul 2023

ETH Zurich, University of Lugano, University of Bologna

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BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing

Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Kartsch, Andrea Cossettini, Luca Benini
04 Jul 2023

ETH Zurich, University of Bologna, University of Modena and Reggio Emilia

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Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs

Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini
17 Apr 2023

University of Bologna, ETH Zurich

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FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation

Zhuoran Xiong, Marihan Amein, Olivier Therrien, Warren J. Gross, Brett H. Meyer
28 Mar 2023

McGill University, Canada

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Exploring Automatic Gym Workouts Recognition Locally On Wearable Resource-Constrained Devices

Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno
13 Jan 2023

ETH Zurich

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Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand
14 Oct 2022

University of Bologna, ETH Zurich

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Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition

Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
24 Mar 2022

ETH Zurich, University of Modena and Reggio Emilia, Polytechnic University of Turin

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A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays

By Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
20 Oct 2021

University of Bologna

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Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs

By Marco Fariselli, Manuele Rusci, Joel Cambonie, Eric Flamand
23 Jun 2021

University of Bologna, ETH Zurich

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Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System

By Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, Francesco Paci, Luca Benini and others
22 May 2021

University of Bologna

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Ultra-low energy pest detection for smart agriculture

Davide Brunelli, Tommaso Polonelli, Luca Benini
25 Oct 2020

University of Bologna, ETH Zurich, University of Trento

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An OpenMP translator for the GAP8 MPSoC

Reinaldo Agostinho de Souza Filho, Diego V. Cirilo do Nascimento, Samuel Xavier-de-Souza
20 Jul 2020

Federal University of Rio Grande do Norte, Brazil

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An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms

Tommaso Polonelli, Daniele Battistini, Manuele Rusci, Davide Brunelli, Luca Benini
21 Mar 2020

University of Bologna, ETH Zurich

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