RESULTS FROM 1 TO 4 OF 4

2022, Articolo in rivista, ENG

Machine learning assisted droplet trajectories extraction in dense emulsions

Durve, Mihir; Tiribocchi, Andriano; Montessori, Andrea; Lauricella, Marco; Succi, Sauro

This work analyzes trajectories obtained by YOLO and DeepSORT algorithms of dense emulsion systems simulated via lattice Boltzmann methods. The results indicate that the individual droplet's moving direction is influenced more by the droplets immediately behind it than the droplets in front of it. The analysis also provide hints on constraints of a dynamical model of droplets for the dense emulsion in narrow channels.

Communications in Applied and Industrial Mathematics 13 (1), pp. 70–77

DOI: 10.2478/caim-2022-0006

2013, Articolo in rivista, ENG

An optimized D2Q37 Lattice Boltzmann code on GP-GPUs

Biferale, Luca and Mantovani, Filippo and Pivanti, Marcello and Pozzati, Fabio and Sbragaglia, Mauro and Scagliarini, Andrea and Schifano, Sebastiano Fabio and Toschi, Federico and Tripiccione, Raffaele

We describe the implementation of a thermal compressible Lattice Boltzmann algorithm on an NVIDIA Tesla C2050 system based on the Fermi GP-GPU. We consider two different versions, including and not including reactive effects. We describe the overall organization of the algorithm and give details on its implementations. Efficiency ranges from 25% to 31% of the double precision peak performance of the GP-GPU. We compare our results with a different implementation of the same algorithm, developed and optimized for many-core Intel Westmere CPUs. (C) 2012 Elsevier Ltd. All rights reserved.

Computers & fluids 80 (SI), pp. 55–62

DOI: 10.1016/j.compfluid.2012.06.003

2012, Contributo in atti di convegno, ENG

A Multi-GPU Implementation of a D2Q37 Lattice Boltzmann Code

Biferale, Luca and Mantovani, Filippo and Pivanti, Marcello and Pozzati, Fabio and Sbragaglia, Mauro and Scagliarini, Andrea and Schifano, Sebastiano Fabio and Toschi, Federico and Tripiccione, Raffaele

We describe a parallel implementation of a compressible Lattice Boltzmann code on a multi-GPU cluster based on Nvidia Fermi processors. We analyze how to optimize the algorithm for GP-GPU architectures, describe the implementation choices that we have adopted and compare our performance results with an implementation optimized for latest generation multi-core CPUs. Our program runs at approximate to 30% of the double-precision peak performance of one GPU and shows almost linear scaling when run on the multi-GPU cluster.

9th International Conference on Parallel Processing and Applied Mathematics (PPAM), Torun, POLAND, SEP 11-14, 2011, Torun, POLAND, SEP 11-14, 2011

2009, Articolo in rivista, ENG

Numerical simulation of conformational variability in biopolymer translocation through wide nanopores

Fyta, Maria; Fyta, Maria; Melchionna, Simone; Melchionna, Simone; Bernaschi, Massimo; Kaxiras, Efthimios; Kaxiras, Efthimios; Succi, Sauro; Succi, Sauro

Numerical results on the translocation of long biopolymers through mid-sized and wide pores are presented. The simulations are based on a novel methodology which couples molecular motion to a mesoscopic fluid solvent. Thousands of events of long polymers (up to 8000 monomers) are monitored as they pass through nanopores. Comparison between the different pore sizes shows that wide pores can host a larger number of multiple biopolymer segments, as compared to smaller pores. The simulations provide clear evidence of folding quantization in the translocation process as the biopolymers undertake multi-folded configurations, characterized by a well-defined integer number of folds. Accordingly, the translocation time is no longer represented by a single-exponent power-law dependence on the length, as is the case for single-file translocation through narrow pores. The folding quantization increases with the biopolymer length, while the rate of translocated beads at each time step is linearly correlated with the number of resident beads in the pore. Finally, analysis of the statistics over the translocation work unravels the importance of the hydrodynamic interactions in the process. © 2009 IOP Publishing Ltd.

Journal of statistical mechanics 2009 (6)

DOI: 10.1088/1742-5468/2009/06/P06009

InstituteSelected 0/1
    IAC, Istituto per le applicazioni del calcolo "Mauro Picone" (4)
AuthorSelected 0/7
    Scagliarini Andrea (2)
    Toschi Federico (2)
    Bernaschi Massimo (1)
    Lauricella Marco (1)
    Melchionna Simone (1)
    Succi Sauro (1)
    Tiribocchi Adriano (1)
TypeSelected 0/2
    Articolo in rivista (3)
    Contributo in atti di convegno (1)
Research programSelected 0/2
    MD.P02.002.001, Dinamica dei sistemi complessi fluidodinamici e biologici (3)
    DFM.AD003.358.001, COPMAT Accordo IIT (1)
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    H2020 (1)
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    COPMAT (1)
YearSelected 0/4
    2009 (1)
    2012 (1)
    2013 (1)
    2022 (1)
LanguageSelected 0/1
    Inglese (4)
Keyword

Lattice Boltzmann methods

RESULTS FROM 1 TO 4 OF 4