Tutori

• Bartolomeo Montrucchio

• Vercellino, Chiara; Vitali, Giacomo; Viviani, Paolo; Scionti, Alberto; Scarabosio, ... (In stampa)
  Neural optimization for quantum architectures: graph embedding problems with Distance Encoder Networks. In: COMPSAC 2023 - IEEE 47th Annual Computers, Software, and Applications Conference, Turin (IT), June 26 - June 30
  Contributo in Atti di Convegno (Proceeding)
• Vercellino, Chiara; Scionti, Alberto; Varavallo, Giuseppe; Viviani, Paolo; Vitali, ... (2023)
  A machine learning approach for an HPC use case: The jobs queuing time prediction. In: FUTURE GENERATION COMPUTER SYSTEMS, vol. 143, pp. 215-230. ISSN 0167-739X
  Contributo su Rivista
• Viviani, Paolo; Vitali, Giacomo; Lengani, Davide; Scionti, Alberto; Vercellino, Chiara; ... (2022)
  Taming Multi-node Accelerated Analytics: An Experience in Porting MATLAB to Scale with Python. In: The 16-th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2022), Online, June 29 – July 1, 2022, pp. 200-210. ISSN 2367-3370. ISBN: 9783031088117
  Contributo in Atti di Convegno (Proceeding)
• Scionti, A.; Viviani, P.; Vitali, G.; Vercellino, C.; Terzo, O. (2022)
  Enabling the HPC and Artificial Intelligence Cross-Stack Convergence at the Exascale Level. In: HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision / Terzo O., Martinovič J., S.L., CRC Press, pp. 37-58. ISBN: 9781003176664
  Contributo in Volume
• Vitali, Giacomo; Viviani, Paolo; Vercellino, Chiara; Scionti, Alberto; Scarabosio, ... (2021)
  Towards Optimal Graph Coloring Using Rydberg Atoms. In: Supercomputing 2021 (SC21), St. Louis, MO (USA), November 14–19 2021
  Contributo in Atti di Convegno (Proceeding)