About

About

I’m Alberto Riccardo Martinelli, Ph.D. in Computer Science and a Full-Stack developer based in Turin, Italy.

Ph.D. thesis

My Ph.D. thesis was about CAPIO, a tool for improving the I/O performance of HPC workflows. You can find the full thesis at this link, or you can read a gentle introduction in my blog post.

Papers

2025

  • Marco Edoardo Santimaria, Alberto Riccardo Martinelli, Iacopo Colonnelli, Barbara Cantalupo, Massimo Torquati and Marco Aldinucci. “CAPIO-CL: The CAPIO Coordination Language”. In: International Journal of Parallel Progamming 53, 10 (2025). https://doi.org/10.1007/s10766-025-00789-0

2023

  • Alberto Riccardo Martinelli, Massimo Torquati, Marco Aldinucci, Iacopo Colonnelli, and Barbara Cantalupo. “CAPIO: a Middleware for Transparent I/O Streaming in Data-Intensive Workflows”. In: 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC). Goa, India: IEEE, Dec. 2023. doi: 10.1109/HiPC58850.2023.00031

  • Giorgio Audrito, Alberto Riccardo Martinelli, and Gianluca Torta. “Parallelising an Aggregate Programming Framework with MessagePassing Interface”. In: 2023 IEEE International Conference o Autonomic Computing and Self-Organizing Systems Companion (ACSOSC). 2023, pp. 140–145. doi: 10.1109/ACSOS-C58168.2023.00054

  • Javier Garcia-Blas, Genaro Sanchez-Gallegos, Cosmin Petre, Alberto Riccardo Martinelli, Marco Aldinucci, and Jesus Carretero. “Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications”. In: EuroPar 2023: Parallel Processing. Ed. by Jos´e Cano, Marios D. Dikaiakos, George A. Papadopoulos, Miquel Peric`as, and Rizos Sakellariou. Cham: Springer Nature Switzerland, 2023, pp. 679–693. isbn: 978-3-031-39698-4

  • Iacopo Colonnelli et al. “Federated Learning Meets HPC and Cloud”. In: Machine Learning for Astrophysics. Ed. by Filomena Bufano, Simone Riggi, Eva Sciacca, and Francesco Schilliro. Cham: Springer International Publishing, 2023, pp. 193–199. isbn: 978-3-031-34167-0

2022

  • Giovanni Agosta et al. “Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach”. In: Microprocessors and Microsystems 95 (2022), p. 104679. issn: 0141-9331. doi: https://doi.org/10.1016/j.micpro.2022.104679

2021

  • Giovanni Agosta et al. “TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale”. In: 2021 24th Euromicro Conference on Digital System Design (DSD). 2021, pp. 286–294. doi: 10.1109/DSD53832. 2021.00051

  • Marco Aldinucci, Valentina Cesare, Iacopo Colonnelli, Alberto Riccardo Martinelli, Gianluca Mittone, and Barbara Cantalupo. “Practical Parallelizazion of a Laplace Solver with MPI”. in: ENEA CRESCO in the fight against COVID-19. Ed. by Francesco Iannone. ENEA, 2021, pp. 21–24

  • Marco Aldinucci et al. “Practical Parallelization of Scientific Applications with OpenMP, OpenACC and MPI”. in: Journal of Parallel and Distributed Computing 157 (Jan. 1, 2021), 13–29. doi: 10.1016/j.jpdc.2021.05.017. published

2018

  • Claudia Misale, Maurizio Drocco, Guy Tremblay, Alberto R. Martinelli, and Marco Aldinucci. “PiCo: High-performance data analytics pipelines in modern C++”. In: Future Generation Computer Systems 87 (2018), pp. 392–403. doi: 10.1016/j.future.2018.05.030