| Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets F D'Ascenzo, O De Filippo, G Gallone, G Mittone, MA Deriu, ... The Lancet 397 (10270), 199-207, 2021 | 230 | 2021 |
| StreamFlow: cross-breeding cloud with HPC I Colonnelli, B Cantalupo, I Merelli, M Aldinucci IEEE Transactions on Emerging Topics in Computing 9 (4), 1723-1737, 2020 | 76 | 2020 |
| Practical parallelization of scientific applications with OpenMP, OpenACC and MPI M Aldinucci, V Cesare, I Colonnelli, AR Martinelli, G Mittone, B Cantalupo, ... Journal of parallel and distributed computing 157, 13-29, 2021 | 36 | 2021 |
| Workflows Community Summit 2022: A Roadmap Revolution RF da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ... arXiv preprint arXiv:2304.00019, 2023 | 29 | 2023 |
| Distributed workflows with Jupyter I Colonnelli, M Aldinucci, B Cantalupo, L Padovani, S Rabellino, ... Future Generation Computer Systems 128, 282-298, 2022 | 16 | 2022 |
| Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning G Mittone, N Tonci, R Birke, I Colonnelli, D Medić, A Bartolini, R Esposito, ... Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 12 | 2023 |
| HPC application cloudification: The StreamFlow toolkit I Colonnelli, B Cantalupo, R Esposito, M Pennisi, C Spampinato, ... 12th Workshop on Parallel Programming and Run-Time Management Techniques for …, 2021 | 12 | 2021 |
| Federated Learning meets HPC and cloud I Colonnelli, B Casella, G Mittone, Y Arfat, B Cantalupo, R Esposito, ... ML4Astro International Conference, 193-199, 2022 | 11 | 2022 |
| Deep learning at scale P Viviani, M Drocco, D Baccega, I Colonnelli, M Aldinucci 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 10 | 2019 |
| Pooling critical datasets with federated learning Y Arfat, G Mittone, I Colonnelli, F D'Ascenzo, R Esposito, M Aldinucci 2023 31st Euromicro International Conference on Parallel, Distributed and …, 2023 | 9 | 2023 |
| Benefit of extended dual antiplatelet therapy duration in acute coronary syndrome patients treated with drug eluting stents for coronary bifurcation lesions (from the BIFURCAT … O De Filippo, J Kang, F Bruno, JK Han, A Saglietto, HM Yang, G Patti, ... The American Journal of Cardiology 156, 16-23, 2021 | 9 | 2021 |
| Model-Agnostic Federated Learning G Mittone, W Riviera, I Colonnelli, R Birke, M Aldinucci Euro-Par 2023: Parallel Processing - 29th International Conference on …, 2023 | 8 | 2023 |
| Practical parallelization of scientific applications V Cesare, I Colonnelli, M Aldinucci 2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020 | 8 | 2020 |
| Towards extreme scale technologies and accelerators for eurohpc hw/sw supercomputing applications for exascale: the textarossa approach G Agosta, M Aldinucci, C Alvarez, R Ammendola, Y Arfat, O Beaumont, ... Microprocessors and Microsystems 95, 104679, 2022 | 7 | 2022 |
| CAPIO: a middleware for transparent I/O streaming in data-intensive workflows AR Martinelli, M Torquati, M Aldinucci, I Colonnelli, B Cantalupo 2023 IEEE 30th International Conference on High Performance Computing, Data …, 2023 | 6 | 2023 |
| Textarossa: Towards extreme scale technologies and accelerators for eurohpc hw/sw supercomputing applications for exascale G Agosta, D Cattaneo, W Fornaciari, A Galimberti, G Massari, ... 2021 24th Euromicro Conference on Digital System Design (DSD), 286-294, 2021 | 4 | 2021 |
| Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow SG Contaldo, L Alessandri, I Colonnelli, M Beccuti, M Aldinucci Single Cell Transcriptomics: Methods and Protocols, 337-345, 2022 | 2 | 2022 |
| Workflow models for heterogeneous distributed systems I Colonnelli | 2 | 2022 |
| Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis I Colonnelli, B Cantalupo, C Spampinato, M Pennisi, M Aldinucci arXiv preprint arXiv:2108.01033, 2021 | 2 | 2021 |
| Recording provenance of workflow runs with RO-Crate S Leo, MR Crusoe, L Rodríguez-Navas, R Sirvent, A Kanitz, P De Geest, ... PloS one 19 (9), e0309210, 2024 | 1 | 2024 |
Marco AldinucciFull Professor in Computer Science, University of TorinoEmail verificata su unito.it
