Marco Lapegna

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 37

Top Topics

Highly Heterogeneous

Computing Environments

Clustering Algorithm

Top Venues

Concurr. Comput. Pract. Exp.

Int. J. Parallel Program.

Publications

Marco Lapegna, Giuliano Laccetti, Raffaele Montella, Diego Romano
Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris. FRAME@HPDC (2024)
Marco Lapegna, Valeria Mele, Raffaele Montella, Lukasz Szustak
Special Issue on the pervasive nature of HPC (PN-HPC). Concurr. Comput. Pract. Exp. 36 (10) (2024)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the General Chairs: PDP 2023. PDP (2023)
Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras
Message from the Organizing Committee Chairs: PDP 2023. PDP (2023)
Ciro Giuseppe De Vita, Gennaro Mellone, Aniello Florio, Catherine Alessandra Torres Charles, Diana Di Luccio, Marco Lapegna, Guido Benassai, Giorgio Budillon, Raffaele Montella
Parallel and hierarchically-distributed Shoreline Alert Model (SAM). PDP (2023)
Gianluca De Lucia, Marco Lapegna, Diego Romano
Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy. Future Gener. Comput. Syst. 147 (2023)
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
A Systematic Mapping Study of Italian Research on Workflows. SC Workshops (2023)
Raffaele Montella, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Gloria Ortega López, Livia Marcellino, Enrico Zambianchi, Giulio Giunta
A highly scalable high-performance Lagrangian transport and diffusion model for marine pollutants assessment. PDP (2023)
Ciro Giuseppe De Vita, Gennaro Mellone, Dante D. Sánchez-Gallegos, Giuseppe Coviello, Diego Romano, Marco Lapegna, Angelo Ciaramella
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 (2023)
Giuliano Laccetti, Marco Lapegna, Diego Romano
A hybrid clustering algorithm for high-performance edge computing devices [Short]. ISPDC (2022)
Walter Balzano, Marco Lapegna, Silvia Stranieri, Fabio Vitale
Competitive-blockchain-based parking system with fairness constraints. Soft Comput. 26 (9) (2022)
Giuliano Laccetti, Marco Lapegna, Raffaele Montella
Toward a high-performance clustering algorithm for securing edge computing environments. CCGRID (2022)
Gianluca De Lucia, Marco Lapegna, Diego Romano
A GPU Accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis Preprocessing. PPAM (2) (2022)
Raffaele Montella, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Giuliano Laccetti, Sokol Kosta, Giulio Giunta
Enabling the CUDA Unified Memory model in Edge, Cloud and HPC offloaded GPU kernels. CCGRID (2022)
Gianluca De Lucia, Marco Lapegna, Diego Romano
Towards explainable AI for hyperspectral image classification in Edge Computing environments. Comput. Electr. Eng. 103 (2022)
Sokol Kosta, Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
Special Issue on High-end Heterogeneous Architectures, Methodologies, and Algorithms (HHAMA20). Concurr. Comput. Pract. Exp. 33 (4) (2021)
Kamil Halbiniak, Tomasz Olas, Lukasz Szustak, Adam Kulawik, Marco Lapegna
Dynamic workload prediction and distribution in numerical modeling of solidification on multi-/manycore architectures. Concurr. Comput. Pract. Exp. 33 (11) (2021)
Marco Lapegna, Silvia Stranieri
DClu: A Direction-Based Clustering Algorithm for VANETs Management. IMIS (2021)
Marco Lapegna, Walter Balzano, Norbert Meyer, Diego Romano
Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments. Sensors 21 (16) (2021)
Diego Romano, Marco Lapegna
A GPU-Parallel Image Coregistration Algorithm for InSar Processing at the Edge. Sensors 21 (17) (2021)
Diego Romano, Valeria Mele, Marco Lapegna
The Challenge of Onboard SAR Processing: A GPU Opportunity. ICCS (3) (2020)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano, Lukasz Szustak
Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs. J. Parallel Distributed Comput. 145 (2020)
Diana Di Luccio, Angelo Riccio, Ardelio Galletti, Giuliano Laccetti, Marco Lapegna, Livia Marcellino, Sokol Kosta, Raffaele Montella
Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model. IEEE Access 8 (2020)
Diego Romano, Marco Lapegna, Valeria Mele, Giuliano Laccetti
Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation. Future Gener. Comput. Syst. 112 (2020)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
An adaptive algorithm for high-dimensional integrals on heterogeneous CPU-GPU systems. Concurr. Comput. Pract. Exp. 31 (19) (2019)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano
A High Performance Modified K-Means Algorithm for Dynamic Data Clustering in Multi-core CPUs Based Environments. IDCS (2019)
Marco Lapegna, Valeria Mele, Diego Romano
An Adaptive Strategy for Dynamic Data Clustering with the K-Means Algorithm. PPAM (2) (2019)
Giuliano Laccetti, Marco Lapegna, Raffaele Montella, Sokol Kosta
Models, algorithms, and tools for highly heterogeneous computing environments. Concurr. Comput. Pract. Exp. 30 (24) (2018)
Luisa Carracciuolo, Marco Lapegna
Implementation of a non-linear solver on heterogeneous architectures. Concurr. Comput. Pract. Exp. 30 (24) (2018)
Giuliano Laccetti, Marco Lapegna, Raffaele Montella
A Scalable Unified Model for Dynamic Data Structures in Message Passing (Clusters) and Shared Memory (multicore CPUs) Computing environments. CCGrid (2018)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
Relaxing the Correctness Conditions on Concurrent Data Structures for Multicore CPUs. A Numerical Case Study. PPAM (2) (2017)
Giovanni Battista Barone, Vania Boccia, Davide Bottalico, Rosanna Campagna, Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna
An Approach to Forecast Queue Time in Adaptive Scheduling: How to Mediate System Efficiency and Users Satisfaction. Int. J. Parallel Program. 45 (5) (2017)
Giuliano Laccetti, Ian T. Foster, Marco Lapegna, Paul Messina, Raffaele Montella, Almerico Murli
Guest Editorial for Hybrid Parallelism in New HPC Systems. Int. J. Parallel Program. 45 (5) (2017)
Raffaele Montella, Sokol Kosta, David Oro, Javier Vera, Carles Fernández, Carlo Palmieri, Diana Di Luccio, Giulio Giunta, Marco Lapegna, Giuliano Laccetti
Accelerating Linux and Android applications on low-power devices through remote GPGPU offloading. Concurr. Comput. Pract. Exp. 29 (24) (2017)
Livia Marcellino, Raffaele Montella, Sokol Kosta, Ardelio Galletti, Diana Di Luccio, Vincenzo Santopietro, Mario Ruggieri, Marco Lapegna, Luisa D'Amore, Giuliano Laccetti
Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources. PPAM (2) (2017)
Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia, Cheol-Ho Hong, Ivor T. A. Spence, Dimitrios S. Nikolopoulos
On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework. Int. J. Parallel Program. 45 (5) (2017)
Giuliano Laccetti, Marco Lapegna, Valeria Mele
A Loosely Coordinated Model for Heap-Based Priority Queues in Multicore Environments. Int. J. Parallel Program. 44 (4) (2016)
Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia
Virtualizing CUDA Enabled GPGPUs on ARM Clusters. PPAM (2) (2015)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano
A Study on Adaptive Algorithms for Numerical Quadrature on Heterogeneous GPU and Multicore Based Systems. PPAM (1) (2013)
Giuliano Laccetti, Marco Lapegna, Valeria Mele, Diego Romano, Almerico Murli
A Double Adaptive Algorithm for Multidimensional Integration on Multicore Based HPC Systems. Int. J. Parallel Program. 40 (4) (2012)
Vania Boccia, Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna, Valeria Mele
HADAB: Enabling Fault Tolerance in Parallel Applications Running in Distributed Environments. PPAM (1) (2011)
Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna
The MedIGrid PSE in an LCG/gLite environment. ISPA (2008)
Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna
Implementing Effective Data Management Policies in Distributed and Grid Computing Environments. PPAM (2007)
Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna
Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE. Grid-Based Problem Solving Environments (2006)
Pasquale Caruso, Giuliano Laccetti, Marco Lapegna
A Performance Contract System in a Grid Enabling, Component Based Programming Environment. EGC (2005)
Luisa D'Amore, Giuliano Laccetti, Marco Lapegna
Block Matrix Multiplication in a Distributed Computing Environment: Experiments with NetSolve. PPAM (2005)
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna
Integrating MPI-based numerical software into an advanced parallel computing environment. PDP (2003)
Pasqua D'Ambra, Marco Danelutto, Daniela di Serafino, Marco Lapegna
Advanced environments for parallel and distributed applications: a view of current status. Parallel Comput. 28 (12) (2002)
Pasqua D'Ambra, Daniela di Serafino, Marco Lapegna
Parallel Components for Multidimensional Quadrature: Some Experiences. Scalable Comput. Pract. Exp. 5 (3) (2002)
Giuliano Laccetti, Marco Lapegna
PAMIHR. A Parallel FORTRAN Program for Multidimensional Quadrature on Distributed Memory Architectures. Euro-Par (1999)
Marco D'Apuzzo, Marco Lapegna, Almerico Murli
Scalability and Load Balancing in Adaptive Algorithms for Multidimensional Integration. Parallel Comput. 23 (8) (1997)
Marco D'Apuzzo, Marco Lapegna
A parallel row projection solver for large sparse linear systems. PDP (1995)
Marco Lapegna, Alessandra D'Alessio
A Scalabel Parallel Algorithm for the Adaptive Multidimensional Quadrature. PPSC (1993)
Marco Lapegna
Global adaptive quadrature for the approximate computation of multidimensional integrals on a distributed-memory multiprocessor. Concurr. Pract. Exp. 4 (6) (1992)