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2020 – today
- 2024
[j19]Martina Savoia, Edoardo Prezioso, Valeria Mele, Francesco Piccialli
:
Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection. Comput. Commun. 225: 156-170 (2024)- [j18]Luisa Carracciuolo, Valeria Mele, Gianluca Sabella:
Toward a new linpack-like benchmark for heterogeneous computing resources. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j17]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) - [c14]Valeria Mele, Diego Romano:
Generalized Ware-Amdhal Law. PDP 2024: 215-221 - [c13]Ciro Giuseppe De Vita, Dario Caramiello, Gennaro Mellone, Genaro Sanchez-Gallegos, Dante Domizzi Sánchez-Gallegos, Valeria Mele, Stefania Cavallo, Diana Di Luccio:
An ad-hoc file system accelerated workflow application for accidental fire fast response. WiDE@EuroSys 2024: 21-27 - 2023
- [j16]Edoardo Prezioso, Fabio Giampaolo, Carlo Mazzocca, Armir Bujari, Valeria Mele, Flora Amato:
Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario. IEEE Internet Things J. 10(4): 3107-3117 (2023) - 2022
- [j15]Stefano Izzo, Edoardo Prezioso, Fabio Giampaolo, Valeria Mele, Vittorio Di Somma, Gang Mei:
Classification of urban functional zones through deep learning. Neural Comput. Appl. 34(9): 6973-6990 (2022) - [c12]Valeria Mele, Giuliano Laccetti:
Algorithm and Software Overhead: A Theoretical Approach to Performance Portability. PPAM (2) 2022: 89-100 - 2021
- [j14]Luisa Carracciuolo, Valeria Mele, Lukasz Szustak:
About the granularity portability of block-based Krylov methods in heterogeneous computing environments. Concurr. Comput. Pract. Exp. 33(4) (2021) - [j13]Luisa D'Amore, Rosalba Cacciapuoti, Valeria Mele:
A scalable Kalman filter algorithm: Trustworthy analysis on constrained least square model. Concurr. Comput. Pract. Exp. 33(4) (2021) - [j12]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
- [j11]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) - [j10]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) - [j9]Lukasz Szustak, Roman Wyrzykowski, Tomasz Olas, Valeria Mele:
Correlation of Performance Optimizations and Energy Consumption for Stencil-Based Application on Intel Xeon Scalable Processors. IEEE Trans. Parallel Distributed Syst. 31(11): 2582-2593 (2020) - [c11]Diego Romano, Valeria Mele, Marco Lapegna:
The Challenge of Onboard SAR Processing: A GPU Opportunity. ICCS (3) 2020: 46-59
2010 – 2019
- 2019
- [j8]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) - [j7]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) - [c10]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 - [c9]Luisa D'Amore, Rosalba Cacciapuoti, Valeria Mele:
Ab-initio Functional Decomposition of Kalman Filter: A Feasibility Analysis on Constrained Least Squares Problems. PPAM (2) 2019: 75-92 - [c8]Marco Lapegna, Valeria Mele, Diego Romano:
An Adaptive Strategy for Dynamic Data Clustering with the K-Means Algorithm. PPAM (2) 2019: 101-110 - [i1]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
- [j6]Valeria Mele, Emil M. Constantinescu, Luisa Carracciuolo, Luisa D'Amore:
A PETSc parallel-in-time solver based on MGRIT algorithm. Concurr. Comput. Pract. Exp. 30(24) (2018) - [c7]Valeria Mele, Diego Romano, Emil M. Constantinescu, Luisa Carracciuolo, Luisa D'Amore:
Performance Evaluation for a PETSc Parallel-in-Time Solver Based on the MGRIT Algorithm. Euro-Par Workshops 2018: 716-728 - 2017
- [c6]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
- [j5]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
- [c5]Luisa Carracciuolo, Luisa D'Amore, Valeria Mele:
Toward a fully parallel multigrid in time algorithm in PETSc environment: A case study in ocean models. HPCS 2015: 595-598 - [c4]Luisa D'Amore, Valeria Mele, Giuliano Laccetti, Almerico Murli:
Mathematical Approach to the Performance Evaluation of Matrix Multiply Algorithm. PPAM (2) 2015: 25-34 - 2014
- [j4]Luisa D'Amore, Rosanna Campagna, Valeria Mele, Almerico Murli:
Algorithm 946: ReLIADiff - A C++ Software Package for Real Laplace Transform Inversion based on Algorithmic Differentiation. ACM Trans. Math. Softw. 40(4): 31:1-31:20 (2014) - 2013
- [j3]Luisa D'Amore, Rosanna Campagna, Valeria Mele, Almerico Murli:
ReLaTIve. An Ansi C90 software package for the Real Laplace Transform Inversion. Numer. Algorithms 63(1): 187-211 (2013) - [j2]Luisa D'Amore, Rosanna Campagna, Valeria Mele, Almerico Murli, Mariarosaria Rizzardi:
Erratum to: ReLaTIve. An Ansi C90 software package for the Real Laplace Transform Inversion. Numer. Algorithms 63(3): 571 (2013) - [c3]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 - 2012
- [j1]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) - 2011
- [c2]Luisa D'Amore, Livia Marcellino, Valeria Mele, Diego Romano:
Deconvolution of 3D Fluorescence Microscopy Images Using Graphics Processing Units. PPAM (1) 2011: 690-699 - [c1]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
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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