D'AMBRA, PASQUA
D'AMBRA, PASQUA
Istituto per le applicazioni del calcolo - IAC - Sede Secondaria Napoli
Alya toward exascale: algorithmic scalability using PSCToolkit
2024 Owen, H.; Lehmkuhl, O.; D'Ambra, P.; Durastante, F.; Filippone, S.
The TEXTAROSSA Project: Cool all the Way Down to the Hardware
2024 Filgueras, Antonio; Agosta, Giovanni; Aldinucci, Marco; Álvarez, Carlos; D'Ambra, Pasqua; Bernaschi, Massimo; Biagioni, Andrea; Cattaneo, Daniele; Celestini, Alessandro; Celino, Massimo; Chiarini, Carlotta; Cicero, Francesca Lo; Cretaro, Paolo; Fornaciari, William; Frezza, Ottorino; Galimberti, Andrea; Giacomini, Francesco; de Haro Ruiz, Juan Miguel; Iannone, Francesco; Jaschke, Daniel; Jiménez-González, Daniel; Kulczewski, Michal; Leva, Alberto; Lonardo, Alessandro; Martinelli, Michele; Martorell, Xavier; Montangero, Simone; Morais, Lucas; Oleksiak, Ariel; Palazzari, Paolo; Pontisso, Luca; Reghenzani, Federico; Rossi, Cristian; Saponarat, Sergio; Lodi, Carlo Saverio; Simula, Francesco; Terraneo, Federico; Vicini, Piero; Vidal, Miguel; Zoni, Davide; Zummo, Giuseppe
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
AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching
2023 Pasqua D'Ambra; Fabio Durastante; S M Ferdous;Salvatore Filippone;Mahantesh Halappanavar;Alex Pothen
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
Alya towards Exascale: Algorithmic Scalability using PSCToolkit
2022 H. Owen; O. Lehmkuhl; P. D'Ambra; F. Durastante; S. Filippone
AMG Preconditioners for Computational and Data Science at Extreme Scale
2022 D'Ambra, P
Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone, Ludmil Zikatanov
2022 D'Ambra, P; Durastante, F; Filippone, S; L, Zikatanov
BootCMatchGX: a scalable iterative linear solver for multi-GPU systems
2022 D'Ambra, P; Bernaschi, M; Celestini, A; Vella, F
Network Clustering by Embedding of Attribute-augmented Graphs
2022 D'Ambra, P; Vassilevski, P; Cutillo, L
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; Celestini, Alessandro
Why diffusion-based preconditioning of Richards equation works: spectral analysis and computational experiments at very large scale.
2022 Bertaccini D; D'Ambra P; Durastante F; Filippone S
AMG Preconditioners for Linear Solvers towards Extreme Scale
2021 D'Ambra, P; Durastante, F; Filippone, S
AMG4PSBLAS Linear Algebra Package brings Alya one step closer to Exascale
2021 H. Owen; G. Houzeaux; F. Durastante; S. Filippone; P. D'Ambra
Scalable AMG Preconditioners for Computational Science at Extreme Scale
2021 D'Ambra P; Durastante F; Filippone S
Solving Richards Equations for Extreme Scale Applications in Hydrology
2021 Bertaccini, D; D'Ambra, P; Durastante, F; Filippone, S
AMG based on compatible weighted matching on GPUs
2020 Bernaschi, M; D'Ambra, P; Pasquini, D
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Alya toward exascale: algorithmic scalability using PSCToolkit | 1-gen-2024 | Owen, H.; Lehmkuhl, O.; D'Ambra, P.; Durastante, F.; Filippone, S. | |
| The TEXTAROSSA Project: Cool all the Way Down to the Hardware | 1-gen-2024 | Filgueras, Antonio; Agosta, Giovanni; Aldinucci, Marco; Álvarez, Carlos; D'Ambra, Pasqua; Bernaschi, Massimo; Biagioni, Andrea; Cattaneo, Daniele; Celestini, Alessandro; Celino, Massimo; Chiarini, Carlotta; Cicero, Francesca Lo; Cretaro, Paolo; Fornaciari, William; Frezza, Ottorino; Galimberti, Andrea; Giacomini, Francesco; de Haro Ruiz, Juan Miguel; Iannone, Francesco; Jaschke, Daniel; Jiménez-González, Daniel; Kulczewski, Michal; Leva, Alberto; Lonardo, Alessandro; Martinelli, Michele; Martorell, Xavier; Montangero, Simone; Morais, Lucas; Oleksiak, Ariel; Palazzari, Paolo; Pontisso, Luca; Reghenzani, Federico; Rossi, Cristian; Saponarat, Sergio; Lodi, Carlo Saverio; Simula, Francesco; Terraneo, Federico; Vicini, Piero; Vidal, Miguel; Zoni, Davide; Zummo, Giuseppe | |
| 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 | |
| AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching | 1-gen-2023 | Pasqua D'Ambra; Fabio Durastante; S M Ferdous;Salvatore Filippone;Mahantesh Halappanavar;Alex Pothen | |
| 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 | |
| Alya towards Exascale: Algorithmic Scalability using PSCToolkit | 1-gen-2022 | H. Owen; O. Lehmkuhl; P. D'Ambra; F. Durastante; S. Filippone | |
| AMG Preconditioners for Computational and Data Science at Extreme Scale | 1-gen-2022 | D'Ambra, P | |
| Automatic coarsening in Algebraic Multigrid utilizing quality measures for matching-based aggregations Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone, Ludmil Zikatanov | 1-gen-2022 | D'Ambra, P; Durastante, F; Filippone, S; L, Zikatanov | |
| BootCMatchGX: a scalable iterative linear solver for multi-GPU systems | 1-gen-2022 | D'Ambra, P; Bernaschi, M; Celestini, A; Vella, F | |
| Network Clustering by Embedding of Attribute-augmented Graphs | 1-gen-2022 | D'Ambra, P; Vassilevski, P; Cutillo, L | |
| 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; Celestini, Alessandro | |
| Why diffusion-based preconditioning of Richards equation works: spectral analysis and computational experiments at very large scale. | 1-gen-2022 | Bertaccini D; D'Ambra P; Durastante F; Filippone S | |
| AMG Preconditioners for Linear Solvers towards Extreme Scale | 1-gen-2021 | D'Ambra, P; Durastante, F; Filippone, S | |
| AMG4PSBLAS Linear Algebra Package brings Alya one step closer to Exascale | 1-gen-2021 | H. Owen; G. Houzeaux; F. Durastante; S. Filippone; P. D'Ambra | |
| Scalable AMG Preconditioners for Computational Science at Extreme Scale | 1-gen-2021 | D'Ambra P; Durastante F; Filippone S | |
| Solving Richards Equations for Extreme Scale Applications in Hydrology | 1-gen-2021 | Bertaccini, D; 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 |