Scientific Papers

Journals

• Beránek, J., Böhm, S., & Cima, V. (2022). Analysis of workflow schedulers in simulated distributed environments. The Journal of Supercomputing, 78(13), 15154-15180.
• Colonnelli, I., Aldinucci, M., Cantalupo, B., Padovani, L., Rabellino, S., Spampinato, C., … & Cavazzoni, C. (2022). Distributed workflows with Jupyter. Future Generation Computer Systems, 128, 282-298.
• Savio, P., Scionti, A., Vitali, G., Viviani, P., Vercellino, C., Terzo, O., … & Poli, F. (2023). Accelerating legacy applications with spatial computing devices. The Journal of Supercomputing, 79(7), 7461-7483.
• Vercellino, C., Scionti, A., Varavallo, G., Viviani, P., Vitali, G., & Terzo, O. (2023). A machine learning approach for an HPC use case: The jobs queuing time prediction. Future Generation Computer Systems, 143, 215-230.

Conference Papers

• Aldinucci, M., Agosta, G., Andreini, A., Ardagna, C. A., Bartolini, A., Cilardo, A., … & Torquati, M. (2021, May). The Italian research on HPC key technologies across EuroHPC. In Proceedings of the 18th ACM international conference on computing frontiers (pp. 178-184).
• Amerini, A., Paccati, S., Mazzei, L., & Andreini, A. (2022, June). Assessment of a Conjugate Heat Transfer Method on an Effusion Cooled Combustor Operated With a Swirl Stabilized Partially Premixed Flame. In Turbo Expo: Power for Land, Sea, and Air (Vol. 86038, p. V06AT11A001). American Society of Mechanical Engineers.
• Lengani, D., Simoni, D., De Vincentiis, L., Ðurović, K., Pralits, J., Henningson, D. S., & Hanifi, A. (2022, June). Investigation on Strain and Stress Principal Axes in Unsteady DNS Turbine Data. In Turbo Expo: Power for Land, Sea, and Air (Vol. 86120, p. V10DT37A031). American Society of Mechanical Engineers.
• Viviani, P., Vitali, G., Lengani, D., Scionti, A., Vercellino, C., & Terzo, O. (2022, June). Taming Multi-node Accelerated Analytics: An Experience in Porting MATLAB to Scale with Python. In Computational Intelligence in Security for Information Systems Conference (pp. 200-210). Cham: Springer International Publishing.
• Colonnelli, I., Casella, B., Mittone, G., Arfat, Y., Cantalupo, B., Esposito, R., … & Aldinucci, M. (2022, May). Federated Learning meets HPC and cloud. In ML4Astro International Conference (pp. 193-199). Cham: Springer International Publishing.
• Colonnelli, I., & Aldinucci, M. (2022, September). Hybrid Workflows For Large-Scale Scientific Applications. In Sixth EAGE High Performance Computing Workshop (Vol. 2022, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
• Dellacasagrande, M., Lengani, D., Simoni, D., Ubaldi, M., Granata, A. A., Giovannini, M., … & Bertini, F. (2023, June). Analysis of Unsteady Loss Sensitivity to Incidence Angle Variation in Low Pressure Turbine. In Turbo Expo: Power for Land, Sea, and Air (Vol. 87097, p. V13BT30A037). American Society of Mechanical Engineers.
• Mulone, A., Awad, S., Chiarugi, D., & Aldinucci, M. (2023, June). Porting the Variant Calling Pipeline for NGS data in cloud-HPC environment. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1858-1863). IEEE.

TBR

• “A framework for Better ORGanized Earth System modeldata – BORGES” – ISC2022 (May 29, June 2 2022 – Hamburg, Germany) – Sven Willner, Jairo Segura, Reinhard Budich, Luis Kornblueh [Download]