Giuliano Laccetti

发表

Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources

Sokol Kosta, Livia Marcellino, Raffaele Montella, 2017, PPAM.

Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE

Almerico Murli, Luisa D'Amore, Luisa Carracciuolo, 2006, Grid-Based Problem Solving Environments.

A framework model for grid security

Giuliano Laccetti, Giovanni Schmid, G. Schmid, 2007, Future Gener. Comput. Syst..

A Scalable Unified Model for Dynamic Data Structures in Message Passing (Clusters) and Shared Memory (multicore CPUs) Computing environments

Raffaele Montella, Marco Lapegna, Giuliano Laccetti, 2018, 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes

Raffaele Montella, Giuliano Laccetti, Carlo Palmieri, 2013, PPAM.

Models, algorithms, and tools for highly heterogeneous computing environments

Sokol Kosta, Raffaele Montella, Marco Lapegna, 2018, Concurr. Comput. Pract. Exp..

Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation

Marco Lapegna, Giuliano Laccetti, Diego Romano, 2020, Future Gener. Comput. Syst..

MGF: A grid-enabled MPI library

Almerico Murli, Francesco Gregoretti, Gennaro Oliva, 2008, Future Gener. Comput. Syst..

Circle detection based on orientation matching

Alfredo Petrosino, Giuliano Laccetti, Michele Ceccarelli, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

A multi‐grained distributed implementation of the parallel Block Conjugate Gradient algorithm

Almerico Murli, Francesco Gregoretti, Gennaro Oliva, 2010, Concurr. Comput. Pract. Exp..

A REAL-TIME METHOD FOR MANIPULATING A REALISTIC HUMAN UPPER LIMB

Marco Lapegna, Giuliano Laccetti, Diego Romano, 2010 .

Mathematical Approach to the Performance Evaluation of Matrix Multiply Algorithm

Almerico Murli, Luisa D'Amore, Giuliano Laccetti, 2015, PPAM.

Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs

Lukasz Szustak, Marco Lapegna, Giuliano Laccetti, 2020, J. Parallel Distributed Comput..

A High Performance Modified K-Means Algorithm for Dynamic Data Clustering in Multi-core CPUs Based Environments

Marco Lapegna, Giuliano Laccetti, Valeria Mele, 2019, IDCS.

Parallel/Distributed Film Line Scratch Restoration by Fusion Techniques

Lucia Maddalena, Alfredo Petrosino, Giuliano Laccetti, 2004, ICCSA.

A Grid Computing Based Virtual Laboratory for Environmental Simulations

Giulio Giunta, Raffaele Montella, Giuliano Laccetti, 2007, PPAM.

Marine bathymetry processing through GPGPU virtualization in high performance cloud computing

Giulio Giunta, Sokol Kosta, Livia Marcellino, 2018, Concurr. Comput. Pract. Exp..

A Performance Contract System in a Grid Enabling, Component Based Programming Environment

Marco Lapegna, Giuliano Laccetti, Pasquale Caruso, 2005, EGC.

Browsing virtual reality on a PC cluster

Mario Rosario Guarracino, Giuliano Laccetti, Diego Romano, 2000, Proceedings IEEE International Conference on Cluster Computing. CLUSTER 2000.

PAMIHR. A Parallel FORTRAN Program for Multidimensional Quadrature on Distributed Memory Architectures

Marco Lapegna, Giuliano Laccetti, 1999, Euro-Par.

Block Matrix Multiplication in a Distributed Computing Environment: Experiments with NetSolve

Luisa D'Amore, Marco Lapegna, Giuliano Laccetti, 2005, PPAM.

Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model

Angelo Riccio, Sokol Kosta, Livia Marcellino, 2020, IEEE Access.

HADAB: Enabling Fault Tolerance in Parallel Applications Running in Distributed Environments

Luisa Carracciuolo, Marco Lapegna, Giuliano Laccetti, 2011, PPAM.

Implementing Effective Data Management Policies in Distributed and Grid Computing Environments

Luisa Carracciuolo, Marco Lapegna, Giuliano Laccetti, 2007, PPAM.

A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism

Giuseppe Scotti, Rossella Arcucci, Luisa Carracciuolo, 2017, International Journal of Parallel Programming.

MedIGrid: a medical imaging application for computational Grids

Almerico Murli, Luisa D'Amore, Gennaro Oliva, 2003, Proceedings International Parallel and Distributed Processing Symposium.

A Loosely Coordinated Model for Heap-Based Priority Queues in Multicore Environments

Marco Lapegna, Giuliano Laccetti, Valeria Mele, 2015, International Journal of Parallel Programming.

Relaxing the Correctness Conditions on Concurrent Data Structures for Multicore CPUs. A Numerical Case Study

Raffaele Montella, Marco Lapegna, Giuliano Laccetti, 2017, PPAM.

Accelerating Linux and Android applications on low‐power devices through remote GPGPU offloading

Giulio Giunta, Sokol Kosta, Raffaele Montella, 2017, Concurr. Comput. Pract. Exp..

A Multilevel Approach for the Performance Analysis of Parallel Algorithms pdf

Luisa D'Amore, Giuliano Laccetti, Valeria Mele, 2019, ArXiv.

On the parallelization of a commercial PSE for scientific computing

Luisa D'Amore, Mario Rosario Guarracino, Giuliano Laccetti, 2003, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003. Proceedings..

A General-Purpose Virtualization Service for HPC on Cloud Computing: An Application to GPUs

Francisco Javier García Blas, Florin Isaila, Giulio Giunta, 2011, PPAM.

SOME PEMOKMANCE ISSCES ON LINEAR ALGEBRA ALGOKITEIMS IN DISTRIBUTED ANI) GKID COMPUTING ENVIKONMEKTS

Marco Lapegna, Giuliano Laccetti, Valeria Mele, 2011 .

Modelling the Behaviour of an Adaptive Scheduling Controller

Luisa Carracciuolo, Giuliano Laccetti, Vania Boccia, 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

MGF: A Grid-Enabled MPI Library with a Delegation Mechanism to Improve Collective Operations

Almerico Murli, Francesco Gregoretti, Gennaro Oliva, 2005, PVM/MPI.

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

Giuseppe Scotti, Almerico Murli, Luisa D'Amore, 2015, Int. J. Comput. Math..

Multidimensional Environmental Data Resource Brokering on Computational Grids and Scientific Clouds

Giulio Giunta, Raffaele Montella, Giuliano Laccetti, 2010, Handbook of Cloud Computing.

Five Dimension Environmental Data Resource Brokering on Computational Grids and Scientific Clouds

Giulio Giunta, Raffaele Montella, Giuliano Laccetti, 2008, 2008 IEEE Asia-Pacific Services Computing Conference.

Virtualizing CUDA Enabled GPGPUs on ARM Clusters

Giulio Giunta, Raffaele Montella, Marco Lapegna, 2015, PPAM.

A Double Adaptive Algorithm for Multidimensional Integration on Multicore Based HPC Systems

Almerico Murli, Marco Lapegna, Giuliano Laccetti, 2012, International Journal of Parallel Programming.

High performance missing data detection and interpolation for video compression and restoration applications

Alfredo Petrosino, Giuliano Laccetti, Michele Ceccarelli, 2003, Proceedings International Parallel and Distributed Processing Symposium.

A fusion-based approach to digital movie restoration

Lucia Maddalena, Alfredo Petrosino, Giuliano Laccetti, 2009, Pattern Recognit..

An Approach to Forecast Queue Time in Adaptive Scheduling: How to Mediate System Efficiency and Users Satisfaction

Luisa Carracciuolo, Marco Lapegna, Giuliano Laccetti, 2016, International Journal of Parallel Programming.

GaaS 2.0: The New Release Based on OpenStack with Features Implemented with OCCI

Luisa Carracciuolo, Giuliano Laccetti, Vania Boccia, 2017 .

A GPU Accelerated High Performance Cloud Computing Infrastructure for Grid Computing Based Virtual Environmental Laboratory

Francisco Javier García Blas, Florin Isaila, Giulio Giunta, 2011 .

A numerical method for locating the abscissa of convergence of a laplace transform function with no singularity at infinity

Giulio Giunta, Giuliano Laccetti, Mariarosaria Rizzardi, 1990, Int. J. Comput. Math..

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

Raffaele Montella, Marco Lapegna, Giuliano Laccetti, 2018, Concurr. Comput. Pract. Exp..

A New Methodology for Line Scratch Restoration

Lucia Maddalena, Alfredo Petrosino, Giuliano Laccetti, 2007 .

Synchronization and caching data for numerical linear algebra algorithms in distributed and grid computing environments

Marco Lapegna, Giuliano Laccetti, Diego Romano, 2009, DaGreS '09.

A Parallel Approach for 3D-Variational Data Assimilation on GPUs in Ocean Circulation Models

Giuseppe Scotti, Rossella Arcucci, Luisa D'Amore, 2015 .

Toward a multilevel scalable parallel Zielonka's algorithm for solving parity games

Rossella Arcucci, Luisa D'Amore, Giuliano Laccetti, 2020, Concurr. Comput. Pract. Exp..

Removing Line Scratches in Digital Image Sequences by Fusion Techniques

Lucia Maddalena, Alfredo Petrosino, Giuliano Laccetti, 2005, ICIAP.

Virtualizing high-end GPGPUs on ARM clusters for the next generation of high performance cloud computing

Giulio Giunta, Raffaele Montella, Giuliano Laccetti, 2013, Cluster Computing.

A Scalable Numerical Algorithm for Solving Tikhonov Regularization Problems

Almerico Murli, Rossella Arcucci, Luisa D'Amore, 2015, PPAM.

Algorithm 796: a Fortran software package for the numerical inversion of the Laplace transform based on a Fourier series method

Almerico Murli, Luisa D'Amore, Giuliano Laccetti, 1999, TOMS.

Yabat: An Administration and Monitoring Software for Beowulf Clusters

Gennaro Oliva, Mario Rosario Guarracino, Giuliano Laccetti, 2000, CLUSTER.

Performance evaluation of a graphic accelerators cluster

Giuliano Laccetti, M. R. Guarracino, D. Romano, 2002 .

Application Oriented Brokering in Medical Imaging: Algorithms and Software Architecture

Almerico Murli, Mario Rosario Guarracino, Giuliano Laccetti, 2005, EGC.

Parallel scientific computing environment for adaptive optic simulations

Almerico Murli, Luisa Carracciuolo, Luisa D'Amore, 2009, Int. J. Comput. Math..

Multilevel Algebraic Approach for Performance Analysis of Parallel Algorithms

Luisa D'Amore, Giuliano Laccetti, Valeria Mele, 2019, Comput. Informatics.

On a Probabilistic Approach to the Security Analysis of Cryptographic Hash Functions

Giuliano Laccetti, Giovanni Schmid, 2004, IACR Cryptol. ePrint Arch..

P-LSR: a parallel algorithm for line scratch restoration

Lucia Maddalena, Alfredo Petrosino, Giuliano Laccetti, 2005, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05).

High Performance Scientific Computing Using Distributed Infrastructures

Roberto Bellotti, Enrico Tassi, Giuliano Laccetti, 2017 .

The MedIGrid PSE in an LCG/gLite environment

Almerico Murli, Luisa D'Amore, Luisa Carracciuolo, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications.

Integrating Scientific Software Libraries in Problem Solving Environments: A Case Study with ScaLAPACK

Almerico Murli, Luisa D'Amore, Mario Rosario Guarracino, 2004, ICCSA.

Guest Editorial for Hybrid Parallelism in New HPC Systems

Ian T. Foster, Almerico Murli, Raffaele Montella, 2016, International Journal of Parallel Programming.

Special Issue on High‐end Heterogeneous Architectures, Methodologies, and Algorithms (HHAMA20)

Sokol Kosta, Raffaele Montella, Marco Lapegna, 2020 .

A PMI-Aware Extension for the SSH Service

Giuliano Laccetti, Giovanni Schmid, 2007, PPAM.