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 …, 2020 - Elsevier
Abstract When a Synthetic Aperture Radar (SAR) acquires raw data using a satellite or
airborne platform, it must be transferred to the ground for further processing. For example …

Towards a parallel component in a GPU–CUDA environment: a case study with the L-BFGS Harwell routine

L D'Amore, G Laccetti, D Romano… - International Journal of …, 2015 - Taylor & Francis
Modern graphics processing units (GPUs) have been at the leading edge of increasing
parallelism over the last 10 years. This fact has encouraged the use of GPUs in a broader …

An adaptive algorithm for high‐dimensional integrals on heterogeneous CPU‐GPU systems

G Laccetti, M Lapegna, V Mele… - … practice and experience, 2019 - Wiley Online Library
In this paper, we introduce an adaptive procedure for the numerical computation of a high‐
dimensional integrals on HPC systems with heterogeneous nodes composed of multi‐core …

The high performance internet of things: using GVirtuS to share high-end GPUs with ARM based cluster computing nodes

G Laccetti, R Montella, C Palmieri… - … Conference on Parallel …, 2013 - Springer
The availability of computing resources and the need for high quality services are rapidly
evolving the vision about the acceleration of knowledge development, improvement and …

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 …, 2014 - Springer
In this work, a parallel adaptive algorithm for the computation of a multidimensional integral
on heterogeneous GPU and multicore based systems is described. Two different strategies …

[PDF][PDF] Digital image inpainting using cellular neural network

P Elango, K Murugesan - Int. J. Open Problems Compt. Math, 2009 - emis.dsd.sztaki.hu
Digital Image inpainting methods provide a means for reconstruction of small damaged
portions of an image. Image or video resources are often received in poor conditions, mostly …

A hybrid clustering algorithm for high-performance edge computing devices [Short]

G Laccetti, M Lapegna… - 2022 21st International …, 2022 - ieeexplore.ieee.org
Clustering algorithms are efficient tools for discovering correlations or affinities within large
datasets and are the basis of several Artificial Intelligence processes based on data …

Spatio-temporal colour correction of strongly degraded movies

ABMT Islam, I Farup - Color Imaging XVI: Displaying …, 2011 - spiedigitallibrary.org
The archives of motion pictures represent an important part of precious cultural heritage.
Unfortunately, these cinematography collections are vulnerable to different distortions such …

Toward a high-performance clustering algorithm for securing edge computing environments

G Laccetti, M Lapegna… - 2022 22nd IEEE …, 2022 - ieeexplore.ieee.org
Clustering algorithms are efficient tools for discov-ering correlations or affinities within large
datasets and are the basis of several Machine Learning processes based on data generated …

Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm

V Mele, D Romano, EM Constantinescu… - … Conference on Parallel …, 2018 - Springer
We herein describe the performance evaluation of a modular implementation of the MGRIT
(MultiGrid-In-Time) algorithm within the context of the PETSc (the Portable, Extensible …