Browsing Virtual Reality on a PC Cluster. - Mario R. Guarracino; Giuliano Laccetti; Diego Romano (CLUSTER, 2000)

Distributed Computing Education, Part 4: Training Infrastructure. - David Fergusson; Roberto Barbera; Emidio Giorgio; Marco Fargetta; Gergely Sipos; Diego Romano; Malcolm P. Atkinson 001; Elizabeth Vander Meer (IEEE Distributed Syst. Online, 2008)

Distributed Computing Education, Part 2: International Summer Schools. - David Fergusson; Richard P. Hopkins; Diego Romano; Elizabeth Vander Meer; Malcolm P. Atkinson 001 (IEEE Distributed Syst. Online, 2008)

Distributed Computing Education, Part 1: A Special Case?. - David Fergusson; Elizabeth Vander Meer; Malcolm P. Atkinson 001; Diego Romano (IEEE Distributed Syst. Online, 2008)

Deconvolution of 3D Fluorescence Microscopy Images Using Graphics Processing Units. - Luisa D'Amore; Livia Marcellino; Valeria Mele; Diego Romano (PPAM (1), 2011)

A Double Adaptive Algorithm for Multidimensional Integration on Multicore Based HPC Systems. - Giuliano Laccetti; Marco Lapegna; Valeria Mele; Diego Romano; Almerico Murli (Int. J. Parallel Program., 2012)

A Study on Adaptive Algorithms for Numerical Quadrature on Heterogeneous GPU and Multicore Based Systems. - Giuliano Laccetti; Marco Lapegna; Valeria Mele; Diego Romano (PPAM (1), 2013)

Beyond Bitcoin - Part I: A critical look at blockchain-based systems. - Pasquale Forte; Diego Romano; Giovanni Schmid (IACR Cryptol. ePrint Arch., 2015)

Towards a parallel component in a GPU-CUDA environment: a case study with the L-BFGS Harwell routine. - Luisa D'Amore; Giuliano Laccetti; Diego Romano; Giuseppe Scotti; Almerico Murli (Int. J. Comput. Math., 2015)

Beyond Bitcoin - Part II: Blockchain-based systems without mining. - Pasquale Forte; Diego Romano; Giovanni Schmid (IACR Cryptol. ePrint Arch., 2016)

Beyond Bitcoin: A Critical Look at Blockchain-Based Systems. - Diego Romano; Giovanni Schmid (Cryptogr., 2017)

Performance Evaluation for a PETSc Parallel-in-Time Solver Based on the MGRIT Algorithm. - Valeria Mele; Diego Romano; Emil M. Constantinescu; Luisa Carracciuolo; Luisa D'Amore (Euro-Par Workshops, 2018)

An objective criterion for stopping light-surface interaction. Numerical validation and quality assessment. - Luisa D'Amore; Diego Romano (J. Math. Imaging Vis., 2018)

A High Performance Modified K-Means Algorithm for Dynamic Data Clustering in Multi-core CPUs Based Environments. - Giuliano Laccetti; Marco Lapegna; Valeria Mele; Diego Romano (IDCS, 2019)

An Adaptive Strategy for Dynamic Data Clustering with the K-Means Algorithm. - Marco Lapegna; Valeria Mele; Diego Romano (PPAM (2), 2019)

Multilevel Algebraic Approach for Performance Analysis of Parallel Algorithms. - Luisa D'Amore; Valeria Mele; Diego Romano; Giuliano Laccetti (Comput. Informatics, 2019)

A Multilevel Approach for the Performance Analysis of Parallel Algorithms. - Luisa D'Amore; Valeria Mele; Diego Romano; Giuliano Laccetti (CoRR, 2019)

A GPU algorithm for tracking yeast cells in phase-contrast microscopy images. - Domenico Rea; Giansimone Perrino; Diego di Bernardo; Livia Marcellino; Diego Romano (Int. J. High Perform. Comput. Appl., 2019)

The Challenge of Onboard SAR Processing: A GPU Opportunity. - Diego Romano; Valeria Mele; Marco Lapegna (ICCS (3), 2020)

Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation. - Diego Romano; Marco Lapegna; Valeria Mele; Giuliano Laccetti (Future Gener. Comput. Syst., 2020)

Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs. - Giuliano Laccetti; Marco Lapegna; Valeria Mele; Diego Romano; Lukasz Szustak (J. Parallel Distributed Comput., 2020)

Beyond Bitcoin: Recent Trends and Perspectives in Distributed Ledger Technology. - Diego Romano; Giovanni Schmid (Cryptogr., 2021)

Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments. - Marco Lapegna; Walter Balzano; Norbert Meyer; Diego Romano (Sensors, 2021)

A GPU-Parallel Image Coregistration Algorithm for InSar Processing at the Edge. - Diego Romano; Marco Lapegna (Sensors, 2021)

A hybrid clustering algorithm for high-performance edge computing devices [Short]. - Giuliano Laccetti; Marco Lapegna; Diego Romano (ISPDC, 2022)

A GPU Accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis Preprocessing. - Gianluca De Lucia; Marco Lapegna; Diego Romano (PPAM (2), 2022)

Towards explainable AI for hyperspectral image classification in Edge Computing environments. - Gianluca De Lucia; Marco Lapegna; Diego Romano (Comput. Electr. Eng., 2022)

Process Authentication through Blockchain: Three Case Studies. - Mario Ciampi; Diego Romano; Giovanni Schmid (Cryptogr., 2022)

Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments. - Ciro Giuseppe De Vita; Gennaro Mellone; Dante D. Sánchez-Gallegos; Giuseppe Coviello; Diego Romano; Marco Lapegna; Angelo Ciaramella (e-Science, 2023)

Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy. - Gianluca De Lucia; Marco Lapegna; Diego Romano (Future Gener. Comput. Syst., 2023)

Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris. - Marco Lapegna; Giuliano Laccetti; Raffaele Montella; Diego Romano (FRAME@HPDC, 2024)

Generalized Ware-Amdhal Law. - Valeria Mele; Diego Romano (PDP, 2024)

Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies. - Gianluca De Lucia; Giuliano Laccetti; Marco Lapegna; Raffaele Montella; Diego Romano (PPAM (2), 2024)

Parallelism in GNN: Possibilities and Limits of Current Approaches. - Valeria Mele; Luisa Carracciuolo; Diego Romano (PPAM (2), 2024)

KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data. - Lucia Maddalena 001; Diego Romano; Francesco Gregoretti; Gianluca De Lucia; Laura Antonelli; Ernesto Soscia; Gabriele Pontillo; Carla Langella; Flavio Fazioli; Carla Giusti; Rosario Varriale (SoftwareX, 2024)

Detection of Single Scatterers in SAR Tomography using Multi-GPU Platforms. - Massimiliano Russo; Mehwish Nisar; Marco Lapegna; Diego Romano; Antonio Pauciullo; Pasquale Imperatore (JURSE, 2025)

A Multi-Level Parallel Algorithm for Detection of Single Scatterers in SAR Tomography. - Massimiliano Russo; Mehwish Nisar; Antonio Pauciullo; Pasquale Imperatore; Marco Lapegna; Diego Romano (PDP, 2025)

A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform. - Diego Romano; Carlo Mennella; Marco Lapegna (Future Gener. Comput. Syst., 2026)