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ORCIDLuisa Carracciuolo
- > Home > Persons > Luisa Carracciuolo
Publications
- 2022
[j11]Luisa D'Amore
, Emil M. Constantinescu, Luisa Carracciuolo:
A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation. J. Sci. Comput. 91(2): 59 (2022)- [i2]Luisa D'Amore, Emil M. Constantinescu, Luisa Carracciuolo:
A scalable space-time domain decomposition approach for solving large-scale nonlinear regularized inverse ill-posed problems in 4D variational data assimilation. CoRR abs/2205.06649 (2022) - 2018
- [j8]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) - [c17]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 - [i1]Luisa Carracciuolo, Emil M. Constantinescu, Luisa D'Amore:
Validation of a PETSc based software implementing a 4DVAR Data Assimilation algorithm: a case study related with an Oceanic Model based on Shallow Water equation. CoRR abs/1810.01361 (2018) - 2017
- [j6]Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo, Giuseppe Scotti, Giuliano Laccetti:
A Decomposition of the Tikhonov Regularization Functional Oriented to Exploit Hybrid Multilevel Parallelism. Int. J. Parallel Program. 45(5): 1214-1235 (2017) - 2015
- [c15]Rossella Arcucci, Luisa D'Amore, Luisa Carracciuolo:
On the problem-decomposition of scalable 4D-Var Data Assimilation models. HPCS 2015: 589-594 - [c14]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 - 2014
- [j5]Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli:
A Scalable Approach for Variational Data Assimilation. J. Sci. Comput. 61(2): 239-257 (2014) - [c13]Luisa D'Amore, Almerico Murli, Vania Boccia, Luisa Carracciuolo:
Insertion of PETSc in the NEMO stack software driving NEMO towards exascale computing. HPCS 2014: 724-731 - 2013
- [c11]Luisa D'Amore, Rossella Arcucci, Luisa Carracciuolo, Almerico Murli:
DD-OceanVar: A Domain Decomposition Fully Parallel Data Assimilation Software for the Mediterranean Forecasting System. ICCS 2013: 1235-1244 - 2009
- [j4]Almerico Murli, Luisa Carracciuolo, Luisa D'Amore, Laura Antonelli:
MEDITOMO: a high performance software package for 3D SPECT imaging. Int. J. Comput. Math. 86(1): 31-56 (2009) - [j3]Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Almerico Murli:
Parallel scientific computing environment for adaptive optic simulations. Int. J. Comput. Math. 86(3): 373-381 (2009) - 2008
- [j2]Almerico Murli, Luisa D'Amore, Luisa Carracciuolo, Marco Ceccarelli, Laura Antonelli:
High performance edge-preserving regularization in 3D SPECT imaging. Parallel Comput. 34(2): 115-132 (2008) - [c5]Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna:
The MedIGrid PSE in an LCG/gLite environment. ISPA 2008: 829-834 - 2006
- [j1]Luisa Carracciuolo, Luisa D'Amore, Almerico Murli:
Towards a parallel component for imaging in PETSc programming environment: a case study in 3-D echocardiography. Parallel Comput. 32(1): 67-83 (2006) - [c3]Almerico Murli, Vania Boccia, Luisa Carracciuolo, Luisa D'Amore, Giuliano Laccetti, Marco Lapegna:
Monitoring and Migration of a PETSc-based Parallel Application for Medical Imaging in a Grid computing PSE. Grid-Based Problem Solving Environments 2006: 421-432 - 2003
- [c2]Mario Bertero, Paola Bonetto, Luisa Carracciuolo, Luisa D'Amore, A. Formiconi, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli, Gennaro Oliva:
MedIGrid: A Medical Imaging Application for Computational Grids. IPDPS 2003: 252 - 2002
- [c1]Laura Antonelli, Luisa Carracciuolo, Marco Ceccarelli, Luisa D'Amore, Almerico Murli:
Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environments. International Conference on Computational Science (2) 2002: 171-180
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