| Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs G Laccetti, M Lapegna, V Mele, D Romano, L Szustak Journal of Parallel and Distributed Computing 145, 34-41, 2020 | 28 | 2020 |
| Deconvolution of 3D fluorescence microscopy images using graphics processing units L D’Amore, L Marcellino, V Mele, D Romano International Conference on Parallel Processing and Applied Mathematics, 690-699, 2011 | 26 | 2011 |
| A study on adaptive algorithms for numerical quadrature on heterogeneous gpu and multicore based systems G Laccetti, M Lapegna, V Mele, D Romano Parallel Processing and Applied Mathematics: 10th International Conference …, 2014 | 23 | 2014 |
| A double adaptive algorithm for multidimensional integration on multicore based HPC systems G Laccetti, M Lapegna, V Mele, D Romano, A Murli International Journal of Parallel Programming 40, 397-409, 2012 | 23 | 2012 |
| HADAB: enabling fault tolerance in parallel applications running in distributed environments V Boccia, L Carracciuolo, G Laccetti, M Lapegna, V Mele Parallel Processing and Applied Mathematics: 9th International Conference …, 2012 | 21 | 2012 |
| Mathematical Approach to the Performance Evaluation of Matrix Multiply Algorithm L D’Amore, V Mele, G Laccetti, A Murli Parallel Processing and Applied Mathematics, 25-34, 2016 | 20 | 2016 |
| Correlation of performance optimizations and energy consumption for stencil-based application on Intel Xeon scalable processors L Szustak, R Wyrzykowski, T Olas, V Mele IEEE Transactions on Parallel and Distributed Systems 31 (11), 2582-2593, 2020 | 18 | 2020 |
| A loosely coordinated model for heap-based priority queues in multicore environments G Laccetti, M Lapegna, V Mele International Journal of Parallel Programming 44, 901-921, 2016 | 18 | 2016 |
| ReLaTIve. An Ansi C90 software package for the Real Laplace Transform Inversion L D’Amore, R Campagna, V Mele, A Murli Numerical Algorithms 63, 187-211, 2013 | 17 | 2013 |
| An adaptive algorithm for high‐dimensional integrals on heterogeneous CPU‐GPU systems G Laccetti, M Lapegna, V Mele, R Montella Concurrency and Computation: Practice and Experience, e4945, 2018 | 16 | 2018 |
| Multilevel algebraic approach for performance analysis of parallel algorithms L D'Amore, V Mele, D Romano, G Laccetti Computing and Informatics 38 (4), 817-850, 2019 | 15 | 2019 |
| Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation D Romano, M Lapegna, V Mele, G Laccetti Future Generation Computer Systems 112, 695-708, 2020 | 13 | 2020 |
| Quality assurance of Gaver’s formula for multi-precision Laplace transform inversion in real case L D’Amore, V Mele, R Campagna Inverse Problems in Science and Engineering 26 (4), 553-580, 2018 | 12 | 2018 |
| A PETSc parallel‐in‐time solver based on MGRIT algorithm V Mele, EM Constantinescu, L Carracciuolo, L D'Amore Concurrency and Computation: Practice and Experience, e4928, 2018 | 12 | 2018 |
| Algorithm 946: ReLIADiff—A C++ Software Package for Real Laplace Transform Inversion based on Algorithmic Differentiation L D'amore, R Campagna, V Mele, A Murli ACM Transactions on Mathematical Software (TOMS) 40 (4), 1-20, 2014 | 12 | 2014 |
| Toward a fully parallel Multigrid in Time algorithm in PETSc environment: a case study in ocean models L Carracciuolo, L D'Amore, V Mele 2015 International Conference on High Performance Computing & Simulation …, 2015 | 8 | 2015 |
| Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm V Mele, D Romano, EM Constantinescu, L Carracciuolo, L D’Amore European Conference on Parallel Processing, 716-728, 2018 | 7 | 2018 |
| About the granularity portability of block‐based Krylov methods in heterogeneous computing environments L Carracciuolo, V Mele, L Szustak Concurrency and Computation: Practice and Experience 33 (4), e6008, 2021 | 6 | 2021 |
| The challenge of onboard SAR processing: A GPU opportunity D Romano, V Mele, M Lapegna International Conference on Computational Science, 46-59, 2020 | 5 | 2020 |
| An Adaptive Strategy for Dynamic Data Clustering with the K-Means Algorithm M Lapegna, V Mele, D Romano International Conference on Parallel Processing and Applied Mathematics, 101-110, 2019 | 5 | 2019 |
Giuliano LaccettiProfessore ordinario di Informatica, Universita degli Studi di NapoliVerified email at unina.it
