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ORCIDRaffaele Tripiccione
- > Home > Persons > Raffaele Tripiccione
Publications
- 2022
[j17]Victor E. Ambrus
, Lorenzo Bazzanini, Alessandro Gabbana, Daniele Simeoni, Sauro Succi, Raffaele Tripiccione:
Fast kinetic simulator for relativistic matter. Nat. Comput. Sci. 2(10): 641-654 (2022)- 2021
- [j16]Lorenzo Bazzanini, Alessandro Gabbana, Daniele Simeoni, Sauro Succi, Raffaele Tripiccione:
A Lattice Boltzmann Method for relativistic rarefied flows in (2+1) dimensions. J. Comput. Sci. 51: 101320 (2021) - 2020
- [j15]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
ThunderX2 Performance and Energy-Efficiency for HPC Workloads. Comput. 8(1): 20 (2020) - 2019
- [j14]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Optimization of lattice Boltzmann simulations on heterogeneous computers. Int. J. High Perform. Comput. Appl. 33(1) (2019) - [c32]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Energy-Efficiency Tuning of a Lattice Boltzmann Simulation Using MERIC. PPAM (2) 2019: 169-180 - [c31]Enrico Calore, Alessandro Gabbana, Fabio Rinaldi, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations. PPAM (1) 2019: 187-198 - 2018
- [i11]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Energy-efficiency evaluation of Intel KNL for HPC workloads. CoRR abs/1804.01911 (2018) - [i10]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications. CoRR abs/1804.01918 (2018) - 2017
- [j13]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications. Concurr. Comput. Pract. Exp. 29(12) (2017) - [c29]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Energy-Efficiency Evaluation of Intel KNL for HPC Workloads. PARCO 2017: 733-742 - [c28]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications. PPAM (1) 2017: 519-530 - [i9]Enrico Calore, Alessandro Gabbana, Jiri Kraus, E. Pellegrini, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Massively parallel lattice-Boltzmann codes on large GPU clusters. CoRR abs/1703.00185 (2017) - [i8]Enrico Calore, Alessandro Gabbana, Jiri Kraus, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Performance and Portability of Accelerated Lattice Boltzmann Applications with OpenACC. CoRR abs/1703.00186 (2017) - [i7]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications. CoRR abs/1703.02788 (2017) - [i6]Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers. CoRR abs/1703.04594 (2017) - 2016
- [j12]Enrico Calore, Alessandro Gabbana, Jiri Kraus, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Performance and portability of accelerated lattice Boltzmann applications with OpenACC. Concurr. Comput. Pract. Exp. 28(12): 3485-3502 (2016) - [j11]Enrico Calore, Alessandro Gabbana, Jiri Kraus, E. Pellegrini, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Massively parallel lattice-Boltzmann codes on large GPU clusters. Parallel Comput. 58: 1-24 (2016) - 2013
- [c20]Alessandro Gabbana, Marcello Pivanti, Sebastiano Fabio Schifano, Raffaele Tripiccione:
Benchmarking MIC architectures with Monte Carlo simulations of spin glass systems. HiPC 2013: 378-385
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