D'AMBRA, PASQUA
D'AMBRA, PASQUA
Istituto per le applicazioni del calcolo - IAC - Sede Secondaria Napoli
The TEXTAROSSA project: Cool all the Way Down to the Hardware
2026 Filgueras, A.; Agosta, G.; Aldinucci, M.; Álvarez, C.; D'Ambra, P.; Bernaschi, M.; Biagioni, A.; Cattaneo, D.; Celestini, A.; Celino, M.; Chiarini, C.; Lo Cicero, F.; Cretaro, P.; Fornaciari, W.; Frezza, O.; Galimberti, A.; Giacomini, F.; De Haro Ruiz, J. M.; Iannone, F.; Jaschke, D.; Jiménez-González, D.; Kulczewski, M.; Leva, A.; Lonardo, A.; Martinelli, M.; Martorell, X.; Montangero, S.; Morais, L.; Oleksiak, A.; Palazzari, P.; Pontisso, L.; Reghenzani, F.; Rossi, C.; Saponara, S.; Lodi, C. S.; Simula, F.; Terraneo, F.; Vicini, P.; Vidal, M.; Zoni, D.; Zummo, G.
Alya toward exascale: algorithmic scalability using PSCToolkit
2024 Owen, H.; Lehmkuhl, O.; D'Ambra, P.; Durastante, F.; Filippone, S.
Why diffusion-based preconditioning of Richards equation works: spectral analysis and computational experiments at very large scale.
2024 D'Ambra, Pasqua
A multi-GPU aggregation-based AMG preconditioner for iterative linear solvers
2023 Bernaschi, M; Celestini, A; Vella, F; D'Ambra, P
Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations
2023 D'Ambra, P; Durastante, F; Filippone, S; Zikatanov, L
Extending bootstrap AMG for clustering of attributed graphs
2023 D'Ambra, P; Vassilevski, Ps; Cutillo, L
Parallel Sparse Computation Toolkit
2023 D'Ambra, P; Durastante, F; Filippone, S
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
2022 D'Ambra, Pasqua; Bernaschi, Massimo; Celestini, Alessandro; Carrozzo, Mauro; Al,
AMG Preconditioners for Linear Solvers towards Extreme Scale
2021 D'Ambra, P; Durastante, F; Filippone, S
AMG based on compatible weighted matching on GPUs
2020 Bernaschi, M; D'Ambra, P; Pasquini, D
BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs
2020 D'Ambra, P; Bernaschi, M; Pasquini, D
Advanced Numerical Methods for Complex Scientific and Engineering Problems: Editorial Introduction
2019 Z. Zlatev; P. D'Ambra; I. Farago; V. Shaydurov; L. Vulkov
Bootstrap AMG for Spectral Clustering
2019 D'Ambra, P; Cutillo, L; S Vassilevski, P
Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs
2019 Ambra Abdullahi Hassan; Valeria Cardellini; Pasqua D'Ambra; Daniela di Serafino;Salvatore Filippone
Improving solve time of aggregation-based adaptive AMG
2019 D'Ambra, Pasqua; Vassilevski Panayot, S
BootCMatch: a software package for bootstrap AMG based on graph weighted matching
2018 D'Ambra, P; Filippone, S; Vassilevski, Ps
A parallel generalized relaxation method for high-performance image segmentation on GPUs
2016 D'Ambra P.; Filippone S.
Solution of Ambrosio-Tortorelli model for image segmentation by generalized relaxation method
2015 D'Ambra, Pasqua; Tartaglione, Gaetano
SparC-LES: Enabling Large Eddy Simulations with Parallel Sparse Matrix Computation Tools
2015 Aprovitola, A; D'Ambra, P; M Denaro, F; di Serafino, D; Filippone, S
Adaptive amg with coarsening based on compatible weighted matching
2013 D'Ambra, Pasqua; Vassilevski, Panayot S.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| The TEXTAROSSA project: Cool all the Way Down to the Hardware | 1-gen-2026 | Filgueras, A.; Agosta, G.; Aldinucci, M.; Álvarez, C.; D'Ambra, P.; Bernaschi, M.; Biagioni, A.; Cattaneo, D.; Celestini, A.; Celino, M.; Chiarini, C.; Lo Cicero, F.; Cretaro, P.; Fornaciari, W.; Frezza, O.; Galimberti, A.; Giacomini, F.; De Haro Ruiz, J. M.; Iannone, F.; Jaschke, D.; Jiménez-González, D.; Kulczewski, M.; Leva, A.; Lonardo, A.; Martinelli, M.; Martorell, X.; Montangero, S.; Morais, L.; Oleksiak, A.; Palazzari, P.; Pontisso, L.; Reghenzani, F.; Rossi, C.; Saponara, S.; Lodi, C. S.; Simula, F.; Terraneo, F.; Vicini, P.; Vidal, M.; Zoni, D.; Zummo, G. | |
| Alya toward exascale: algorithmic scalability using PSCToolkit | 1-gen-2024 | Owen, H.; Lehmkuhl, O.; D'Ambra, P.; Durastante, F.; Filippone, S. | |
| Why diffusion-based preconditioning of Richards equation works: spectral analysis and computational experiments at very large scale. | 1-gen-2024 | D'Ambra, Pasqua | |
| A multi-GPU aggregation-based AMG preconditioner for iterative linear solvers | 1-gen-2023 | Bernaschi, M; Celestini, A; Vella, F; D'Ambra, P | |
| Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations | 1-gen-2023 | D'Ambra, P; Durastante, F; Filippone, S; Zikatanov, L | |
| Extending bootstrap AMG for clustering of attributed graphs | 1-gen-2023 | D'Ambra, P; Vassilevski, Ps; Cutillo, L | |
| Parallel Sparse Computation Toolkit | 1-gen-2023 | D'Ambra, P; Durastante, F; Filippone, S | |
| Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach | 1-gen-2022 | D'Ambra, Pasqua; Bernaschi, Massimo; Celestini, Alessandro; Carrozzo, Mauro; Al, | |
| AMG Preconditioners for Linear Solvers towards Extreme Scale | 1-gen-2021 | D'Ambra, P; Durastante, F; Filippone, S | |
| AMG based on compatible weighted matching on GPUs | 1-gen-2020 | Bernaschi, M; D'Ambra, P; Pasquini, D | |
| BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs | 1-gen-2020 | D'Ambra, P; Bernaschi, M; Pasquini, D | |
| Advanced Numerical Methods for Complex Scientific and Engineering Problems: Editorial Introduction | 1-gen-2019 | Z. Zlatev; P. D'Ambra; I. Farago; V. Shaydurov; L. Vulkov | |
| Bootstrap AMG for Spectral Clustering | 1-gen-2019 | D'Ambra, P; Cutillo, L; S Vassilevski, P | |
| Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs | 1-gen-2019 | Ambra Abdullahi Hassan; Valeria Cardellini; Pasqua D'Ambra; Daniela di Serafino;Salvatore Filippone | |
| Improving solve time of aggregation-based adaptive AMG | 1-gen-2019 | D'Ambra, Pasqua; Vassilevski Panayot, S | |
| BootCMatch: a software package for bootstrap AMG based on graph weighted matching | 1-gen-2018 | D'Ambra, P; Filippone, S; Vassilevski, Ps | |
| A parallel generalized relaxation method for high-performance image segmentation on GPUs | 1-gen-2016 | D'Ambra P.; Filippone S. | |
| Solution of Ambrosio-Tortorelli model for image segmentation by generalized relaxation method | 1-gen-2015 | D'Ambra, Pasqua; Tartaglione, Gaetano | |
| SparC-LES: Enabling Large Eddy Simulations with Parallel Sparse Matrix Computation Tools | 1-gen-2015 | Aprovitola, A; D'Ambra, P; M Denaro, F; di Serafino, D; Filippone, S | |
| Adaptive amg with coarsening based on compatible weighted matching | 1-gen-2013 | D'Ambra, Pasqua; Vassilevski, Panayot S. |