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.
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters
By Jie Chen, Igor Loi, Eric Flamand, Giuseppe Tagliavini, Luca Benini, Davide Rossi
4 Sep 2023
University of Bologna, ETH Zurich
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
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
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
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
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
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
Exploring Automatic Gym Workouts Recognition Locally On Wearable Resource-Constrained Devices
Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno
13 Jan 2023
ETH Zurich
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
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
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
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
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
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
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
