Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations. - Maurizio Drocco; Paolo Viviani 001; Iacopo Colonnelli; Marco Aldinucci; Marco Grangetto (PDP, 2019)

Deep Learning at Scale. - Paolo Viviani 001; Maurizio Drocco; Daniele Baccega; Iacopo Colonnelli; Marco Aldinucci (PDP, 2019)

Practical Parallelization of Scientific Applications. - Valentina Cesare; Iacopo Colonnelli; Marco Aldinucci (PDP, 2020)

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. - Giovanni Agosta; Daniele Cattaneo 002; William Fornaciari; Andrea Galimberti; Giuseppe Massari; Federico Reghenzani; Federico Terraneo; Davide Zoni; Carlo Brandolese; Massimo Celino; Francesco Iannone; Paolo Palazzari; et al. (DSD, 2021)

HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). - Iacopo Colonnelli; Barbara Cantalupo; Roberto Esposito; Matteo Pennisi; Concetto Spampinato; Marco Aldinucci (PARMA-DITAM@HiPEAC, 2021)

Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. - Iacopo Colonnelli; Barbara Cantalupo; Concetto Spampinato; Matteo Pennisi; Marco Aldinucci (CoRR, 2021)

Practical parallelization of scientific applications with OpenMP, OpenACC and MPI. - Marco Aldinucci; Valentina Cesare; Iacopo Colonnelli; Alberto Riccardo Martinelli; Gianluca Mittone; Barbara Cantalupo; Carlo Cavazzoni; Maurizio Drocco (J. Parallel Distributed Comput., 2021)

StreamFlow: Cross-Breeding Cloud With HPC. - Iacopo Colonnelli; Barbara Cantalupo; Ivan Merelli; Marco Aldinucci (IEEE Trans. Emerg. Top. Comput., 2021)

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. - Marco Aldinucci; David Atienza; Federico Bolelli; Mónica Caballero; Iacopo Colonnelli; José Flich; Jon Ander Gómez; David González; Costantino Grana; Marco Grangetto; Simone Leo; Pedro López 001; et al. (Technologies and Applications for Big Data Value, 2022)

Distributed workflows with Jupyter. - Iacopo Colonnelli; Marco Aldinucci; Barbara Cantalupo; Luca Padovani; Sergio Rabellino; Concetto Spampinato; Roberto Morelli; Rosario Di Carlo; Nicolò Magini; Carlo Cavazzoni (Future Gener. Comput. Syst., 2022)

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. - Giovanni Agosta; Marco Aldinucci; Carlos Álvarez 001; Roberto Ammendola; Yasir Arfat; Olivier Beaumont; Massimo Bernaschi; Andrea Biagioni; Tommaso Boccali; Bérenger Bramas; Carlo Brandolese; Barbara Cantalupo; et al. (Microprocess. Microsystems, 2022)

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CF, 2023)

Model-Agnostic Federated Learning. - Gianluca Mittone; Walter Riviera; Iacopo Colonnelli; Robert Birke; Marco Aldinucci (Euro-Par, 2023)

CAPIO: a Middleware for Transparent I/O Streaming in Data- Intensive Workflows. - Alberto Riccardo Martinelli; Massimo Torquati; Marco Aldinucci; Iacopo Colonnelli; Barbara Cantalupo (HiPC, 2023)

Workflow Models for Heterogeneous Distributed Systems. - Iacopo Colonnelli (itaDATA, 2023)

Pooling critical datasets with Federated Learning. - Yasir Arfat; Gianluca Mittone; Iacopo Colonnelli; Fabrizio D'Ascenzo; Roberto Esposito; Marco Aldinucci (PDP, 2023)

RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. - William Fornaciari; Federico Reghenzani; Federico Terraneo; Davide Baroffio; Cecilia Metra; Martin Omaña 001; Josie E. Rodriguez Condia; Matteo Sonza Reorda; Robert Birke; Iacopo Colonnelli; Gianluca Mittone; Marco Aldinucci; et al. (SAMOS, 2023)

A Systematic Mapping Study of Italian Research on Workflows. - Marco Aldinucci; Elena Maria Baralis; Valeria Cardellini; Iacopo Colonnelli; Marco Danelutto; Sergio Decherchi; Giuseppe Di Modica; Luca Ferrucci; Marco Gribaudo; Francesco Iannone; Marco Lapegna; Doriana Medic; et al. (SC Workshops, 2023)

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CoRR, 2023)

Workflows Community Summit 2022: A Roadmap Revolution. - Rafael Ferreira da Silva; Rosa M. Badia; Venkat Bala; Debbie Bard; Peer-Timo Bremer; Ian Buckley; Silvina Caíno-Lores; Kyle Chard; Carole A. Goble; Shantenu Jha; Daniel S. Katz; Daniel E. Laney; et al. (CoRR, 2023)

Recording provenance of workflow runs with RO-Crate. - Simone Leo; Michael R. Crusoe; Laura Rodríguez-Navas; Raül Sirvent; Alexander Kanitz; Paul De Geest; Rudolf Wittner; Luca Pireddu; Daniel Garijo; José M. Fernández; Iacopo Colonnelli; Matej Gallo; et al. (CoRR, 2023)

Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows. - Iacopo Colonnelli; Doriana Medic; Alberto Mulone; Viviana Bono; Luca Padovani; Marco Aldinucci (FM (1), 2024)

Performance Analysis on DNA Alignment Workload with Intel SGX Multithreading. - Lorenzo Brescia; Iacopo Colonnelli; Marco Aldinucci (BigHPC@itaDATA, 2024)

Benchmarking Parallelization Models through Karmarkar's Interior-point method. - Marco Edoardo Santimaria; Samuele Fonio; Giulio Malenza; Iacopo Colonnelli; Marco Aldinucci (PDP, 2024)

A Performance Analysis for Confidential Federated Learning. - Bruno Casella; Iacopo Colonnelli; Gianluca Mittone; Robert Birke; Walter Riviera; Antonio Sciarappa; Carlo Cavazzoni; Marco Aldinucci (SP (Workshops), 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

Artifact for paper "Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows". - Iacopo Colonnelli; Doriana Medic; Alberto Mulone; Viviana Bono; Luca Padovani; Marco Aldinucci (Zenodo, 2024)

EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale. Invited Paper. - Nitin Shukla; Alessandro Romeo; Caterina Caravita; Lubomir Riha; Ondrej Vysocky; Petr Strakos; Milan Jaros; João Barbosa; Radim Vavrík; Andrea Mignone; Marco Rossazza; Stefano Truzzi; et al. (CF (Companion), 2025)

End-To-End Confidentiality with Sev-Snp Leveraging in-Memory Storage. - Lorenzo Brescia; Iacopo Colonnelli; Valerio Schiavoni; Pascal Felber; Marco Aldinucci (EuroS&P (Workshops), 2025)

The Cloud-HPC infrastructure for Hazard Mapping and vulnerability Monitoring (HaMMon). - Mauro Imbrosciano; Eva Sciacca; Fabio Vitello; Leonardo Pelonero; Francesco Franchina; Ugo Becciani; Iacopo Colonnelli; Doriana Medic (PDP, 2025)

High Performance Visualization for Astrophysics and Cosmology. - Nicola Tuccari; Eva Sciacca; Fabio Vitello; Iacopo Colonnelli; Yolanda Becerra 001; Enric Sosa Cintero; Guillermo Marin; Milan Jaros; Lubomir Riha; Petr Strakos; Sebastian Trujillo-Gomez; Emiliano Tramontana; et al. (PDP, 2025)

CAPIO-CL: The CAPIO Coordination Language. - Marco Edoardo Santimaria; Alberto Riccardo Martinelli; Iacopo Colonnelli; Barbara Cantalupo; Massimo Torquati; Marco Aldinucci (Int. J. Parallel Program., 2025)

A comprehensive performance evaluation of TEEs for confidential DNA alignment. - Lorenzo Brescia; Iacopo Colonnelli; Robert Birke; Valerio Schiavoni; Pascal Felber; Marco Aldinucci (Future Gener. Comput. Syst., 2026)

A terminology for scientific workflow systems. - Frédéric Suter; Tainã Coleman; Ilkay Altintas; Rosa M. Badia; Bartosz Balis; Kyle Chard; Iacopo Colonnelli; Ewa Deelman; Paolo Di Tommaso; Thomas Fahringer; Carole A. Goble; Shantenu Jha; et al. (Future Gener. Comput. Syst., 2026)