• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Corso di laurea magistrale

• Synthesis and optimization of digital systems. A.A. 2016/17, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2017/18, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Progetti finanziati da contratti commerciali

• Corso di formazione su addestramento di algoritmi di Machine Learning, (2025-2026) - Responsabile Scientifico
  Contratti commerciali

• Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea (2020)
  EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets. In: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 233-237. ISBN: 978-1-7281-4922-6
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Rizzo, R. G.; Calimera, A. (2020)
  Efficacy of topology scaling for temperature and latency constrained embedded convnets. In: JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, vol. 10. ISSN 2079-9268
  Contributo su Rivista
• Peluso, Valentino (2020)
  Optimization Tools for ConvNets on the Edge. relatore: MACII, Enrico; , 32. XXXII Ciclo, P.: 158
  Doctoral Thesis
• Peluso, V.; Macii, E.; Calimera, A. (2020)
  Optimization Tools for ConvNets on the Edge. In: 28th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SOC 2020, Salt Lake City, UT, USA, 2020, pp. 204-205. ISBN: 978-1-7281-5409-1
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S. (2020)
  Enabling monocular depth perception at the very edge. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, usa, 2020, pp. 1581-1583. ISBN: 978-1-7281-9360-1
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Calimera, A. (2019)
  Energy-Accuracy Scalable Deep Convolutional Neural Networks: A Pareto Analysis. In: VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms / S.N., S.L., Springer, pp. 107-127. ISBN: 978-3-030-23424-9
  Contributo in Volume
• Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea (2019)
  Optimality Assessment of Memory-Bounded ConvNets Deployed on Resource-Constrained RISC Cores. In: IEEE ACCESS, pp. 1-13. ISSN 2169-3536
  Contributo su Rivista
• Peluso, V.; Grimaldi, M.; Calimera, A. (2019)
  Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors. In: 27th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2019, per, 2019, pp. 142-147. ISBN: 978-1-7281-3915-9
  Contributo in Atti di Convegno (Proceeding)
• Rizzo, Roberto G.; Peluso, Valentino; Calimera, Andrea; Zhou, Jun (2019)
  On the Efficiency of Early Bird Sampling (EBS) an Error Detection-Correction Scheme for Data-Driven Voltage Over-Scaling. In: 25th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2017, Abu Dhabi, United Arab Emirates, October 23–25, 2017,, pp. 153-177. ISSN 1868-4238. ISBN: 978-3-030-15662-6
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Cipolletta, Antonio; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S. (2019)
  Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. In: 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, Firenze Fiera, ita, 2019, pp. 1703-1708. ISBN: 978-3-9819263-2-3
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Rizzo, R. G.; Cipolletta, A.; Calimera, A. (2019)
  Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets. In: 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019, esp, 2019, pp. 454-459. ISBN: 978-1-7281-2946-4
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Cipolletta, A.; Vaiana, F.; Calimera, A. (2019)
  Integer ConvNets on embedded CPUs: Tools and performance assessment on the cortex-A cores. In: 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, ita, 2019, pp. 598-601. ISBN: 978-1-7281-0996-1
  Contributo in Atti di Convegno (Proceeding)
• Peluso, Valentino; Rizzo, Roberto Giorgio; Calimera, Andrea (2019)
  Performance Profiling of Embedded ConvNets under Thermal-Aware DVFS. In: ELECTRONICS, vol. 8. ISSN 2079-9292
  Contributo su Rivista
• Peluso, V.; Calimera, A. (2018)
  Energy-Driven Precision Scaling for Fixed-Point ConvNets. In: 26th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018, Verona (ITA), 08-10 October 2018, pp. 113-118. ISBN: 978-1-5386-4756-1
  Contributo in Atti di Convegno (Proceeding)
• Peluso, V.; Calimera, A. (2018)
  Scalable-effort ConvNets for multilevel classification. In: 37th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2018, Hilton San Diego Resort and Spa, usa, 2018, pp. 1-8. ISBN: 9781450359504
  Contributo in Atti di Convegno (Proceeding)
• Jahier Pagliari, Daniele; Peluso, Valentino; Chen, Yukai; Calimera, Andrea; Macii, ... (2018)
  All-digital embedded meters for on-line power estimation. In: 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, Germany, 19-23 March 2018, pp. 737-742. ISBN: 978-3-9819263-0-9
  Contributo in Atti di Convegno (Proceeding)
• Santoro, Giulia; Casu, Mario R.; Peluso, Valentino; Calimera, Andrea; Alioto, Massimo (2018)
  Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS. In: IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5. ISBN: 978-1-5386-4881-0
  Contributo in Atti di Convegno (Proceeding)
• Santoro, Giulia; Casu, Mario R.; Peluso, Valentino; Calimera, Andrea; Alioto, Massimo (2018)
  Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, pp. 1151-1154. ISBN: 978-3-9819263-0-9
  Contributo in Atti di Convegno (Proceeding)
• Peluso, Valentino; Calimera, Andrea (2018)
  Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets. In: IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5. ISBN: 978-1-5386-4881-0
  Contributo in Atti di Convegno (Proceeding)
• Rizzo, Roberto G.; Peluso, Valentino; Calimera, Andrea; Zhou, Jun; Liu, Xin (2017)
  Early bird sampling: A short-paths free error detection-correction strategy for data-driven VOS. In: IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Abu Dhabi, October 2017, pp. 1-6. ISBN: 978-1-5386-2880-5
  Contributo in Atti di Convegno (Proceeding)

• Stima di profondità a ridotto consumo di potenza, e altri segnali da singola immagine. Brevetto nazionale e internazionale
  Inventori: Andrea Calimera Antonio Cipolletta Valentino Peluso