marco lapegna
marco lapegna
Department of Mathematics and Applications ' - University of Naples Federico II
Bestätigte E-Mail-Adresse bei unina.it
Titel
Zitiert von
Zitiert von
Jahr
On the virtualization of CUDA based GPU remoting on ARM and X86 machines in the GVirtuS framework
R Montella, G Giunta, G Laccetti, M Lapegna, C Palmieri, C Ferraro, ...
International Journal of Parallel Programming 45 (5), 1142-1163, 2017
322017
Accelerating Linux and Android applications on low‐power devices through remote GPGPU offloading
R Montella, S Kosta, D Oro, J Vera, C Fernández, C Palmieri, D Di Luccio, ...
Concurrency and Computation: Practice and Experience 29 (24), e4286, 2017
302017
Scalability and load balancing in adaptive algorithms for multidimensional integration
M D'Apuzzo, M Lapegna, A Murli
Parallel Computing 23 (8), 1199-1210, 1997
261997
Integrating MPI-based numerical software into an advanced parallel computing environment
P D'Ambra, M Danelutto, D di Serafino, M Lapegna
Eleventh Euromicro Conference on Parallel, Distributed and Network-Based …, 2003
242003
Advanced environments for parallel and distributed applications: a view of current status
P D’Ambra, M Danelutto, D di Serafino, M Lapegna
Parallel Computing 28 (12), 1637-1662, 2002
242002
Virtualizing CUDA enabled GPGPUs on ARM clusters
R Montella, G Giunta, G Laccetti, M Lapegna, C Palmieri, C Ferraro, ...
Parallel Processing and Applied Mathematics, 3-14, 2016
232016
Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE
A Murli, V Boccia, L Carracciuolo, L D’Amore, G Laccetti, M Lapegna
Grid-Based Problem Solving Environments, 421-432, 2007
232007
A performance contract system in a grid enabling, component based programming environment
P Caruso, G Laccetti, M Lapegna
European Grid Conference, 982-992, 2005
212005
A study on adaptive algorithms for numerical quadrature on heterogeneous gpu and multicore based systems
G Laccetti, M Lapegna, V Mele, D Romano
International Conference on Parallel Processing and Applied Mathematics, 704-713, 2013
192013
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 (4), 397-409, 2012
192012
HADAB: enabling fault tolerance in parallel applications running in distributed environments
V Boccia, L Carracciuolo, G Laccetti, M Lapegna, V Mele
International Conference on Parallel Processing and Applied Mathematics, 700-709, 2011
182011
Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources
L Marcellino, R Montella, S Kosta, A Galletti, D Di Luccio, V Santopietro, ...
International Conference on Parallel Processing and Applied Mathematics, 14-24, 2017
152017
PAMIHR. A parallel FORTRAN program for multidimensional quadrature on distributed memory architectures
G Laccetti, M Lapegna
European Conference on Parallel Processing, 1144-1148, 1999
151999
Global adaptive quadrature for the approximate computation of multidimensional integrals on a distributed‐memory multiprocessor
M Lapegna
Concurrency: Practice and Experience 4 (6), 413-426, 1992
151992
A loosely coordinated model for heap-based priority queues in multicore environments
G Laccetti, M Lapegna, V Mele
International Journal of Parallel Programming 44 (4), 901-921, 2016
142016
A Scalabel Parallel Algorithm for the Adaptive Multidimensional Quadrature.
M Lapegna, A D'Alessio
PPSC, 933-936, 1993
101993
An approach to forecast queue time in adaptive scheduling: how to mediate system efficiency and users satisfaction
GB Barone, V Boccia, D Bottalico, R Campagna, L Carracciuolo, ...
International Journal of Parallel Programming 45 (5), 1164-1193, 2017
92017
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 31 (19), e4945, 2019
72019
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
52020
Coastal marine data crowdsourcing using the Internet of Floating Things: Improving the results of a water quality model
D Di Luccio, A Riccio, A Galletti, G Laccetti, M Lapegna, L Marcellino, ...
IEEE Access 8, 101209-101223, 2020
52020
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