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ORCIDGiuliano Laccetti
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2020 – today
- 2024
[c38]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- 2023
- [j27]Gennaro Mellone, Ciro Giuseppe De Vita, Dante D. Sánchez-Gallegos, Genaro Sanchez-Gallegos, Catherine Alessandra Torres Charles, Javier García Blas, Jesús Carretero Pérez, José Luis González Compeán, Giuliano Laccetti:
A novel approach for large-scale environmental data partitioning on cloud and on-premises storage for compute continuum applications. Concurr. Comput. Pract. Exp. 35(25) (2023) - 2022
- [c37]Giuliano Laccetti, Marco Lapegna, Raffaele Montella:
Toward a high-performance clustering algorithm for securing edge computing environments. CCGRID 2022: 820-825 - [c36]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: 834-841 - [c35]Giuliano Laccetti, Marco Lapegna, Diego Romano:
A hybrid clustering algorithm for high-performance edge computing devices [Short]. ISPDC 2022: 78-82 - [c34]Valeria Mele, Giuliano Laccetti:
Algorithm and Software Overhead: A Theoretical Approach to Performance Portability. PPAM (2) 2022: 89-100 - 2021
- [j26]Luisa D'Amore, Aniello Murano, Loredana Sorrentino, Rossella Arcucci, Giuliano Laccetti:
Toward a multilevel scalable parallel Zielonka's algorithm for solving parity games. Concurr. Comput. Pract. Exp. 33(4) (2021) - [j25]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) - 2020
- [j24]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: 101209-101223 (2020) - [j23]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: 695-708 (2020) - [j22]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: 34-41 (2020)
2010 – 2019
- 2019
- [j21]Luisa D'Amore, Valeria Mele, Diego Romano, Giuliano Laccetti:
Multilevel Algebraic Approach for Performance Analysis of Parallel Algorithms. Comput. Informatics 38(4): 817-850 (2019) - [j20]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) - [c33]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: 89-99 - [i2]Luisa D'Amore, Valeria Mele, Diego Romano, Giuliano Laccetti:
A Multilevel Approach for the Performance Analysis of Parallel Algorithms. CoRR abs/1901.05836 (2019) - 2018
- [j19]Giuliano Laccetti, Marco Lapegna, Raffaele Montella, Sokol Kosta:
Models, algorithms, and tools for highly heterogeneous computing environments. Concurr. Comput. Pract. Exp. 30(24) (2018) - [j18]Raffaele Montella, Livia Marcellino, Ardelio Galletti, Diana Di Luccio, Sokol Kosta, Giuliano Laccetti, Giulio Giunta:
Marine bathymetry processing through GPGPU virtualization in high performance cloud computing. Concurr. Comput. Pract. Exp. 30(24) (2018) - [c32]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: 599-608 - 2017
- [j17]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) - [j16]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): 1021-1025 (2017) - [j15]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): 1142-1163 (2017) - [j14]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): 1164-1193 (2017) - [j13]Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo, Giuseppe Scotti, Giuliano Laccetti:
A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism. Int. J. Parallel Program. 45(5): 1214-1235 (2017) - [c31]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: 14-24 - [c30]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: 25-36 - 2016
- [j12]Giuliano Laccetti, Marco Lapegna, Valeria Mele:
A Loosely Coordinated Model for Heap-Based Priority Queues in Multicore Environments. Int. J. Parallel Program. 44(4): 901-921 (2016) - 2015
- [j11]Luisa D'Amore, Giuliano Laccetti, Diego Romano, Giuseppe Scotti, Almerico Murli:
Towards a parallel component in a GPU-CUDA environment: a case study with the L-BFGS Harwell routine. Int. J. Comput. Math. 92(1): 59-76 (2015) - [c29]Raffaele Montella, Giulio Giunta, Giuliano Laccetti, Marco Lapegna, Carlo Palmieri, Carmine Ferraro, Valentina Pelliccia:
Virtualizing CUDA Enabled GPGPUs on ARM Clusters. PPAM (2) 2015: 3-14 - [c28]Luisa D'Amore, Valeria Mele, Giuliano Laccetti, Almerico Murli:
Mathematical Approach to the Performance Evaluation of Matrix Multiply Algorithm. PPAM (2) 2015: 25-34 - [c27]Rossella Arcucci, Luisa D'Amore, Simone Celestino, Giuliano Laccetti, Almerico Murli:
A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems. PPAM (2) 2015: 45-54 - 2014
- [j10]Raffaele Montella, Giulio Giunta, Giuliano Laccetti:
Virtualizing high-end GPGPUs on ARM clusters for the next generation of high performance cloud computing. Clust. Comput. 17(1): 139-152 (2014) - 2013
- [c26]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: 704-713 - [c25]Giuliano Laccetti, Raffaele Montella, Carlo Palmieri, Valentina Pelliccia:
The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes. PPAM (1) 2013: 734-744 - 2012
- [j9]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): 397-409 (2012) - [c24]Giovanni Battista Barone, Vania Boccia, Davide Bottalico, Luisa Carracciuolo, Alessandra Doria, Giuliano Laccetti:
Modelling the Behaviour of an Adaptive Scheduling Controller. CISIS 2012: 438-442 - 2011
- [c23]Vania Boccia, Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna, Valeria Mele:
HADAB: Enabling Fault Tolerance in Parallel Applications Running in Distributed Environments. PPAM (1) 2011: 700-709 - [c22]Raffaele Montella, Giuseppe Coviello, Giulio Giunta, Giuliano Laccetti, Florin Isaila, Javier García Blas:
A General-Purpose Virtualization Service for HPC on Cloud Computing: An Application to GPUs. PPAM (1) 2011: 740-749 - 2010
- [j8]Almerico Murli, Luisa D'Amore, Giuliano Laccetti, Francesco Gregoretti, Gennaro Oliva:
A multi-grained distributed implementation of the parallel Block Conjugate Gradient algorithm. Concurr. Comput. Pract. Exp. 22(15): 2053-2072 (2010) - [p1]Raffaele Montella, Giulio Giunta, Giuliano Laccetti:
Multidimensional Environmental Data Resource Brokering on Computational Grids and Scientific Clouds. Handbook of Cloud Computing 2010: 475-492
2000 – 2009
- 2009
- [j7]Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Almerico Murli:
Parallel scientific computing environment for adaptive optic simulations. Int. J. Comput. Math. 86(3): 373-381 (2009) - [j6]Lucia Maddalena, Alfredo Petrosino, Giuliano Laccetti:
A fusion-based approach to digital movie restoration. Pattern Recognit. 42(7): 1485-1495 (2009) - 2008
- [j5]Francesco Gregoretti, Giuliano Laccetti, Almerico Murli, Gennaro Oliva, Umberto Scafuri:
MGF: A grid-enabled MPI library. Future Gener. Comput. Syst. 24(2): 158-165 (2008) - [c21]Giulio Giunta, Giuliano Laccetti, Raffaele Montella:
Five Dimension Environmental Data Resource Brokering on Computational Grids and Scientific Clouds. APSCC 2008: 81-88 - [c20]Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna:
The MedIGrid PSE in an LCG/gLite environment. ISPA 2008: 829-834 - 2007
- [j4]Giuliano Laccetti, Giovanni Schmid:
A framework model for grid security. Future Gener. Comput. Syst. 23(5): 702-713 (2007) - [c19]Luisa Carracciuolo, Giuliano Laccetti, Marco Lapegna:
Implementing Effective Data Management Policies in Distributed and Grid Computing Environments. PPAM 2007: 902-911 - [c18]Giuliano Laccetti, Giovanni Schmid:
A PMI-Aware Extension for the SSH Service. PPAM 2007: 932-941 - [c17]Raffaele Montella, Giulio Giunta, Giuliano Laccetti:
A Grid Computing Based Virtual Laboratory for Environmental Simulations. PPAM 2007: 951-960 - 2006
- [c16]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: 421-432 - 2005
- [c15]Giuliano Laccetti, Lucia Maddalena, Alfredo Petrosino:
P-LSR: A Parallel Algorithm for Line Scratch Restoration. CAMP 2005: 225-230 - [c14]Mario R. Guarracino, Giuliano Laccetti, Almerico Murli:
Application Oriented Brokering in Medical Imaging: Algorithms and Software Architecture. EGC 2005: 972-981 - [c13]Pasquale Caruso, Giuliano Laccetti, Marco Lapegna:
A Performance Contract System in a Grid Enabling, Component Based Programming Environment. EGC 2005: 982-992 - [c12]Giuliano Laccetti, Lucia Maddalena, Alfredo Petrosino:
Removing Line Scratches in Digital Image Sequences by Fusion Techniques. ICIAP 2005: 695-702 - [c11]Luisa D'Amore, Giuliano Laccetti, Marco Lapegna:
Block Matrix Multiplication in a Distributed Computing Environment: Experiments with NetSolve. PPAM 2005: 625-632 - [c10]Francesco Gregoretti, Giuliano Laccetti, Almerico Murli, Gennaro Oliva, Umberto Scafuri:
MGF: A Grid-Enabled MPI Library with a Delegation Mechanism to Improve Collective Operations. PVM/MPI 2005: 285-292 - 2004
- [c9]Luisa D'Amore, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli:
Integrating Scientific Software Libraries in Problem Solving Environments: A Case Study with ScaLAPACK. ICCSA (2) 2004: 515-524 - [c8]Giuliano Laccetti, Lucia Maddalena, Alfredo Petrosino:
Parallel/Distributed Film Line Scratch Restoration by Fusion Techniques. ICCSA (2) 2004: 525-535 - [i1]Giuliano Laccetti, Giovanni Schmid:
On a Probabilistic Approach to the Security Analysis of Cryptographic Hash Functions. IACR Cryptol. ePrint Arch. 2004: 324 (2004) - 2003
- [c7]Michele Ceccarelli, Giuliano Laccetti, Alfredo Petrosino:
High Performance Missing Data Detection and Interpolation for Video Compression and Restoration Applications. IPDPS 2003: 233 - [c6]Mario Bertero, Paola Bonetto, Luisa Carracciuolo, Luisa D'Amore, A. Formiconi, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli, Gennaro Oliva:
MedIGrid: A Medical Imaging Application for Computational Grids. IPDPS 2003: 252 - [c5]Luisa D'Amore, Mario R. Guarracino, Giuliano Laccetti:
On the Parallelization of a Commercial PSE for Scientific Computing. PDP 2003: 441-448 - 2001
- [c4]Michele Ceccarelli, Alfredo Petrosino, Giuliano Laccetti:
Circle Detection Based on Orientation Matching. ICIAP 2001: 119-124 - 2000
- [c3]Mario R. Guarracino, Giuliano Laccetti, Diego Romano:
Browsing Virtual Reality on a PC Cluster. CLUSTER 2000: 201-208 - [c2]Mario R. Guarracino, Giuliano Laccetti, Gennaro Oliva, Umberto Scafuri:
Yabat: An Administration and Monitoring Software for Beowulf Clusters. CLUSTER 2000: 401-402
1990 – 1999
- 1999
- [j3]Luisa D'Amore, Giuliano Laccetti, Almerico Murli:
An implementation of a Fourier series method for the numerical inversion of the Laplace transform. ACM Trans. Math. Softw. 25(3): 279-305 (1999) - [j2]Luisa D'Amore, Giuliano Laccetti, Almerico Murli:
Algorithm 796: a Fortran software package for the numerical inversion of the Laplace transform based on a Fourier series method. ACM Trans. Math. Softw. 25(3): 306-315 (1999) - [c1]Giuliano Laccetti, Marco Lapegna:
PAMIHR. A Parallel FORTRAN Program for Multidimensional Quadrature on Distributed Memory Architectures. Euro-Par 1999: 1144-1148 - 1990
- [j1]Giulio Giunta, Giuliano Laccetti, Mariarosaria Rizzardi:
A numerical method for locating the abscissa of convergence of a laplace transform function with no singularity at infinity. Int. J. Comput. Math. 37(1-2): 89-103 (1990)
Coauthor Index
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