Marco Lapegna

66 papers B 5C 12Misc 2Journal 26Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform.
Future Gener. Comput. Syst.
Diego Romano, Carlo Mennella, Marco Lapegna
2025 C conf
A Massive Open Online Course (MOOC) on High-Performance Parallel Computing for Federica.eu Web-learning Platform.
PDP
Giuliano Laccetti, Marco Lapegna, Ilaria Merciai
2025 C conf
A Multi-Level Parallel Algorithm for Detection of Single Scatterers in SAR Tomography.
PDP
Massimiliano Russo, Mehwish Nisar, Antonio Pauciullo, Pasquale Imperatore, Marco Lapegna, Diego Romano
2025 — conf
Advances in Adapting Memory-Bound CFD Computations to RISC-V Multicore Architecture.
ICCS (3)
Tomasz Olas, Lukasz Szustak, Roman Wyrzykowski, Mateusz Olas, Marco Lapegna
2025 C conf
Analysis and Mitigation of Soft-errors in GPU-accelerated Hyperspectral Image Classifiers.
DDECS
Sergiu-Mohamed Abed, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Gianluca De Lucia, Marco Lapegna, Matteo Sonza Reorda
2025 J jnl
Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network.
Big Data Cogn. Comput.
Ciro Listone, Diego Romano, Marco Lapegna
2025 — conf
Detection of Single Scatterers in SAR Tomography using Multi-GPU Platforms.
JURSE
Massimiliano Russo, Mehwish Nisar, Marco Lapegna, Diego Romano, Antonio Pauciullo, Pasquale Imperatore
2025 — conf
Fuzzy Reward-based Reinforcement Learning for Clifford Circuit Synthesis.
FUZZ
Giovanni Acampora, Allegra Cuzzocrea, Marco Lapegna, Roberto Schiattarella, Autilia Vitiello
2025 C conf
Non-Functional Properties in HPC Systems: Design Exploration of Energy, Power, and Reliability.
DSD
Giovanni Agosta, Enrico Bini, Davide Baroffio, Carlo Brandolese, Michele Castrovilli, Daniele Cattaneo, Daniele Cesarini, William Fornaciari, Andrea Galimberti, Alberto Garfagnini, Arsenii Gavrikov, Francesco Iannone, Marco Lapegna, Tomas Antonio Lopez, Gabriele Magnani, Gabriele Mencagli, Cecilia Metra, Martin Eugenio Omana, Filippo Palombi, Federico Reghenzani, Josie E. Rodriguez Condia, A. Serafini, Matteo Sonza Reorda, Davide Zoni, Giuseppe Zummo
2025 B conf
Using Topology-Aware Reinforcement Learning to Synthesize Quantum Linear Reversible Circuits.
IJCNN
Giovanni Acampora, Allegra Cuzzocrea, Marco Lapegna, Roberto Schiattarella, Autilia Vitiello
2024 — conf
Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies.
PPAM (2)
Gianluca De Lucia, Giuliano Laccetti, Marco Lapegna, Raffaele Montella, Diego Romano
2024 — conf
Extending a Scientific Workflow Engine with Streaming I/O Capabilities: DAGonStar and CAPIO.
Euro-Par Workshops (2)
Simone Perrotta, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Edoardo Santimaria, Giuseppe Salvi, Marco Lapegna, Massimo Torquati, Angelo Ciaramella
2024 J jnl
Special Issue on the pervasive nature of HPC (PN-HPC).
Concurr. Comput. Pract. Exp.
Marco Lapegna, Valeria Mele, Raffaele Montella, Lukasz Szustak
2024 — conf
Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris.
FRAME@HPDC
Marco Lapegna, Giuliano Laccetti, Raffaele Montella, Diego Romano
2023 — conf
A Systematic Mapping Study of Italian Research on Workflows.
SC Workshops
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, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega
2023 C conf
A highly scalable high-performance Lagrangian transport and diffusion model for marine pollutants assessment.
PDP
Raffaele Montella, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Gloria Ortega López, Livia Marcellino, Enrico Zambianchi, Giulio Giunta
2023 B conf
Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments.
e-Science
Ciro Giuseppe De Vita, Gennaro Mellone, Dante D. Sánchez-Gallegos, Giuseppe Coviello, Diego Romano, Marco Lapegna, Angelo Ciaramella
2023 C conf
Message from the General Chairs: PDP 2023.
PDP
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
2023 C conf
Message from the Organizing Committee Chairs: PDP 2023.
PDP
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
2023 C conf
Parallel and hierarchically-distributed Shoreline Alert Model (SAM).
PDP
Ciro Giuseppe De Vita, Gennaro Mellone, Aniello Florio, Catherine Alessandra Torres Charles, Diana Di Luccio, Marco Lapegna, Guido Benassai, Giorgio Budillon, Raffaele Montella
2023 J jnl
Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy.
Future Gener. Comput. Syst.
Gianluca De Lucia, Marco Lapegna, Diego Romano
2022 — conf
A GPU Accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis Preprocessing.
PPAM (2)
Gianluca De Lucia, Marco Lapegna, Diego Romano
2022 C conf
A hybrid clustering algorithm for high-performance edge computing devices [Short].
ISPDC
Giuliano Laccetti, Marco Lapegna, Diego Romano
2022 J jnl
Competitive-blockchain-based parking system with fairness constraints.
Soft Comput.
Walter Balzano, Marco Lapegna, Silvia Stranieri, Fabio Vitale
2022 B conf
Enabling the CUDA Unified Memory model in Edge, Cloud and HPC offloaded GPU kernels.
CCGRID
Raffaele Montella, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Giuliano Laccetti, Sokol Kosta, Giulio Giunta
2022 B conf
Toward a high-performance clustering algorithm for securing edge computing environments.
CCGRID
Giuliano Laccetti, Marco Lapegna, Raffaele Montella
2022 J jnl
Towards explainable AI for hyperspectral image classification in Edge Computing environments.
Comput. Electr. Eng.
Gianluca De Lucia, Marco Lapegna, Diego Romano
2021 J jnl
A GPU-Parallel Image Coregistration Algorithm for InSar Processing at the Edge.
Sensors
Diego Romano, Marco Lapegna
2021 J jnl
Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments.
Sensors
Marco Lapegna, Walter Balzano, Norbert Meyer, Diego Romano
2021 — conf
DClu: A Direction-Based Clustering Algorithm for VANETs Management.
IMIS
Marco Lapegna, Silvia Stranieri
2021 J jnl
Dynamic workload prediction and distribution in numerical modeling of solidification on multi-/manycore architectures.
Concurr. Comput. Pract. Exp.
Kamil Halbiniak, Tomasz Olas, Lukasz Szustak, Adam Kulawik, Marco Lapegna
2021 J jnl
Special Issue on High-end Heterogeneous Architectures, Methodologies, and Algorithms (HHAMA20).
Concurr. Comput. Pract. Exp.
Sokol Kosta, Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
2020 J jnl
Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model.
IEEE Access
Diana Di Luccio, Angelo Riccio, Ardelio Galletti, Giuliano Laccetti, Marco Lapegna, Livia Marcellino, Sokol Kosta, Raffaele Montella
2020 J jnl
Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation.
Future Gener. Comput. Syst.
Diego Romano, Marco Lapegna, Valeria Mele, Giuliano Laccetti
2020 J jnl
Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs.
J. Parallel Distributed Comput.
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano, Lukasz Szustak
2020 — conf
The Challenge of Onboard SAR Processing: A GPU Opportunity.
ICCS (3)
Diego Romano, Valeria Mele, Marco Lapegna
2019 — conf
A High Performance Modified K-Means Algorithm for Dynamic Data Clustering in Multi-core CPUs Based Environments.
IDCS
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano
2019 — conf
An Adaptive Strategy for Dynamic Data Clustering with the K-Means Algorithm.
PPAM (2)
Marco Lapegna, Valeria Mele, Diego Romano
2019 J jnl
An adaptive algorithm for high-dimensional integrals on heterogeneous CPU-GPU systems.
Concurr. Comput. Pract. Exp.
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
2018 B conf
A Scalable Unified Model for Dynamic Data Structures in Message Passing (Clusters) and Shared Memory (multicore CPUs) Computing environments.
CCGrid
Giuliano Laccetti, Marco Lapegna, Raffaele Montella
2018 J jnl
Implementation of a non-linear solver on heterogeneous architectures.
Concurr. Comput. Pract. Exp.
Luisa Carracciuolo, Marco Lapegna
2018 J jnl
Models, algorithms, and tools for highly heterogeneous computing environments.
Concurr. Comput. Pract. Exp.
Giuliano Laccetti, Marco Lapegna, Raffaele Montella, Sokol Kosta
2017 J jnl
Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading.
Concurr. Comput. Pract. Exp.
Raffaele Montella, Sokol Kosta, David Oro, Javier Vera, Carles Fernández, Carlo Palmieri, Diana Di Luccio, Giulio Giunta, Marco Lapegna, Giuliano Laccetti
2017 J jnl
An Approach to Forecast Queue Time in Adaptive Scheduling: How to Mediate System Efficiency and Users Satisfaction.
Int. J. Parallel Program.
Giovanni Battista Barone, Vania Boccia, Davide Bottalico, Rosanna Campagna, Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna
2017 J jnl
Guest Editorial for Hybrid Parallelism in New HPC Systems.
Int. J. Parallel Program.
Giuliano Laccetti, Ian T. Foster, Marco Lapegna, Paul Messina, Raffaele Montella, Almerico Murli
2017 J jnl
On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework.
Int. J. Parallel Program.
Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia, Cheol-Ho Hong, Ivor T. A. Spence, Dimitrios S. Nikolopoulos
2017 — conf
Relaxing the Correctness Conditions on Concurrent Data Structures for Multicore CPUs. A Numerical Case Study.
PPAM (2)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
2017 — conf
Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources.
PPAM (2)
Livia Marcellino, Raffaele Montella, Sokol Kosta, Ardelio Galletti, Diana Di Luccio, Vincenzo Santopietro, Mario Ruggieri, Marco Lapegna, Luisa D'Amore, Giuliano Laccetti
2016 J jnl
A Loosely Coordinated Model for Heap-Based Priority Queues in Multicore Environments.
Int. J. Parallel Program.
Giuliano Laccetti, Marco Lapegna, Valeria Mele
2015 — conf
Virtualizing CUDA Enabled GPGPUs on ARM Clusters.
PPAM (2)
Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia
2013 — conf
A Study on Adaptive Algorithms for Numerical Quadrature on Heterogeneous GPU and Multicore Based Systems.
PPAM (1)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano
2012 J jnl
A Double Adaptive Algorithm for Multidimensional Integration on Multicore Based HPC Systems.
Int. J. Parallel Program.
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano, Almerico Murli
2011 — conf
HADAB: Enabling Fault Tolerance in Parallel Applications Running in Distributed Environments.
PPAM (1)
Vania Boccia, Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna, Valeria Mele
2008 C conf
The MedIGrid PSE in an LCG/gLite environment.
ISPA
Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna
2007 Misc conf
Implementing Effective Data Management Policies in Distributed and Grid Computing Environments.
PPAM
Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna
2006 — conf
Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE.
Grid-Based Problem Solving Environments
Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna
2005 — conf
A Performance Contract System in a Grid Enabling, Component Based Programming Environment.
EGC
Pasquale Caruso, Giuliano Laccetti, Marco Lapegna
2005 Misc conf
Block Matrix Multiplication in a Distributed Computing Environment: Experiments with NetSolve.
PPAM
Luisa D'Amore, Giuliano Laccetti, Marco Lapegna
2003 C conf
Integrating MPI-based numerical software into an advanced parallel computing environment.
PDP
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna
2002 J jnl
Advanced environments for parallel and distributed applications: a view of current status.
Parallel Comput.
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna
2002 J jnl
Parallel Components for Multidimensional Quadrature: Some Experiences.
Parallel Distributed Comput. Pract.
Pasqua D'Ambra, Daniela di Serafino, Marco Lapegna
1999 — conf
PAMIHR. A Parallel FORTRAN Program for Multidimensional Quadrature on Distributed Memory Architectures.
Euro-Par
Giuliano Laccetti, Marco Lapegna
1997 J jnl
Scalability and Load Balancing in Adaptive Algorithms for Multidimensional Integration.
Parallel Comput.
Marco D'Apuzzo, Marco Lapegna, Almerico Murli
1995 C conf
A parallel row projection solver for large sparse linear systems.
PDP
Marco D'Apuzzo, Marco Lapegna
1993 — conf
A Scalabel Parallel Algorithm for the Adaptive Multidimensional Quadrature.
PPSC
Marco Lapegna, Alessandra D'Alessio
1992 J jnl
Global adaptive quadrature for the approximate computation of multidimensional integrals on a distributed-memory multiprocessor.
Concurr. Pract. Exp.
Marco Lapegna