Argomento di ricerca

Optimized acceleration of deep neural networks on edge devices

Tutori

• Maurizio Martina
• Guido Masera

Research presentation

Poster

Corso di laurea magistrale

• Integrated systems architecture. A.A. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Integrated systems architecture. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Digital Electronics. A.A. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Digital Electronics. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso

Corso di laurea di 1° livello

• Digital systems electronics. A.A. 2021/22, INGEGNERIA ELETTRONICA. Collaboratore del corso
• Digital systems electronics. A.A. 2022/23, INGEGNERIA ELETTRONICA. Collaboratore del corso

• Valpreda, Emanuele; Palumbo, Giuseppe; Caon, Michele; Masera, Guido; Martina, Maurizio (2023)
  ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information. In: 18th International Conference on PhD Research in Microelectronics and Electronics, Valencia (Spain), 18-21 June 2023, pp. 277-280. ISBN: 979-8-3503-0320-9
  Contributo in Atti di Convegno (Proceeding)
• Rohit Vemparala, Manoj; Fasfous, Nael; Frickenstein, Alexander; Valpreda, Emanuele; ... (2022)
  HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology. In: LEIBNIZ TRANSACTIONS ON EMBEDDED SYSTEMS, vol. 8, pp. 1-30. ISSN 2199-2002
  Contributo su Rivista
• Valpreda, Emanuele; Mori, Pierpaolo; Fasfous, Nael; Vemparala, Manoj Rohit; ... (2022)
  HW-Flow-Fusion: Inter-Layer Scheduling for Convolutional Neural Network Accelerators with Dataflow Architectures. In: ELECTRONICS, vol. 11. ISSN 2079-9292
  Contributo su Rivista
• Aiello, Giuseppe; Bussolino, Beatrice; Valpreda, Emanuele; Ruo Roch, Massimo; Masera, ... (2022)
  NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators. In: International Conference on Image Processing, Bordeaux, France, 16-19 October 2022. ISBN: 978-1-6654-9620-9
  Contributo in Atti di Convegno (Proceeding)
• Fasfous, Nael; Frickenstein, Lukas; Neumeier, Michael; Vemparala, Manoj Rohit; ... (2022)
  Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 14-23 March 2022, pp. 706-711. ISSN 1530-1591. ISBN: 978-3-9819263-6-1
  Contributo in Atti di Convegno (Proceeding)