Optimized acceleration of deep neural networks on edge devices

Master of Science

• 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
• Integrated systems architecture. A.A. 2023/24, 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
• Digital Electronics. A.A. 2023/24, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso

Bachelor of Science

• Digital systems electronics. A.A. 2021/22, INGEGNERIA ELETTRONICA. Collaboratore del corso
• Digital systems electronics. A.A. 2022/23, INGEGNERIA ELETTRONICA. Collaboratore del corso
• Digital systems electronics. A.A. 2023/24, INGEGNERIA ELETTRONICA. Collaboratore del corso

• Guella, Flavia; Valpreda, Emanuele; Caon, Michele; Masera, Guido; Martina, Maurizio (2024)
  MARLIN: A Co-Design Methodology for Approximate ReconfigurabLe Inference of Neural Networks at the Edge. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, vol. 71. ISSN 1549-8328
  Contributo su Rivista
• Guella, Flavia; Valpreda, Emanuele; Caon, Michele; Masera, Guido; Martina, Maurizio (2024)
  TEMET: Truncated REconfigurable Multiplier with Error Tuning. In: International Conference on Applications in Electronics Pervading Industry, Environment and Society, Genova, Italy, 28-29 September 2023, pp. 370-377. ISSN 1876-1119. ISBN: 978-3-031-48121-5
  Contributo in Atti di Convegno (Proceeding)
• Valpreda, Emanuele (2024)
  Hardware/Neural Network Codesign for Energy-Efficient Inference on Edge Devices with Optimal Mapping and Compression. relatore: MARTINA, MAURIZIO; MASERA, Guido; , 36. XXXVI Ciclo, P.: 150
  Doctoral Thesis
• Dolmeta, Alessandra; Valpreda, Emanuele; Martina, Maurizio; Masera, Guido (2024)
  Implementation and integration of NTT/INTT accelerator on RISC-V for CRYSTALS-Kyber. In: Proceedings of the 21st ACM International Conference on Computing Frontiers Workshops and Special Sessions, Ischia (Italy), May 7-9, 2024, pp. 59-62. ISBN: 9798400704925
  Contributo in Atti di Convegno (Proceeding)
• 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)
• 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)
• Fasfous, Nael; Vemparala, Manoj Rohit; Frickenstein, Alexander; Valpreda, Emanuele; ... (2022)
  AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 14-23 March 2022, pp. 238-243. ISSN 1558-1101. ISBN: 978-3-9819263-6-1
  Contributo in Atti di Convegno (Proceeding)
• 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
• 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
• 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; Vemparala, Manoj Rohit; Frickenstein, Alexander; Valpreda, Emanuele; ... (2021)
  HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology. In: ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, vol. 20, pp. 1-25. ISSN 1539-9087
  Contributo su Rivista