Zobrazeno 1 - 10
of 480
pro vyhledávání: '"Bernaschi, P."'
Autor:
Pelusi, Francesca, Scagliarini, Andrea, Sbragaglia, Mauro, Bernaschi, Massimo, Benzi, Roberto
We study the process of thermal convection in jammed emulsions with a yield-stress rheology. We find that heat transfer occurs via an intermittent mechanism, whereby intense short-lived convective "heat bursts" are spaced out by long-lasting conducti
Externí odkaz:
http://arxiv.org/abs/2405.02135
Publikováno v:
Computer Physics Communications, 298 (2024) 109101
We release a set of GPU programs for the study of the Quantum ($S=1/2$) Spin Glass on a square lattice, with binary couplings. The library contains two main codes: MCQSG (that carries out Monte Carlo simulations using both the Metropolis and the Para
Externí odkaz:
http://arxiv.org/abs/2402.03920
Quantum annealers are commercial devices aiming to solve very hard computational problems named spin glasses. Just like in metallurgic annealing one slowly cools a ferrous metal, quantum annealers seek good solutions by slowly removing the transverse
Externí odkaz:
http://arxiv.org/abs/2310.07486
Publikováno v:
Soft Matter 19, 7192-7201 (2023)
Employing numerical simulations, we provide an accurate insight into the of heat transfer mechanisms in the Rayleigh-B\'enard convection of concentrated emulsions with finite-size droplets. We focus on the unsteady dynamics characterizing the thermal
Externí odkaz:
http://arxiv.org/abs/2306.02404
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems (2023)
We present and release in open source format a sparse linear solver which efficiently exploits heterogeneous parallel computers. The solver can be easily integrated into scientific applications that need to solve large and sparse linear systems on mo
Externí odkaz:
http://arxiv.org/abs/2303.02352
Autor:
Tiribocchi, Adriano, Montessori, Andrea, Amati, Giorgio, Bernaschi, Massimo, Bonaccorso, Fabio, Orlandini, Sergio, Succi, Sauro, Lauricella, Marco
A GPU-accelerated version of the lattice Boltzmann method for efficient simulation of soft materials is introduced. Unlike standard approaches, this method reconstructs the distribution functions from available hydrodynamic variables (density, moment
Externí odkaz:
http://arxiv.org/abs/2301.01622
Autor:
Rossana Scutari, Valeria Fox, Vanessa Fini, Annarita Granaglia, Anna Chiara Vittucci, Andrea Smarrazzo, Laura Lancella, Francesca Calo’ Carducci, Lorenza Romani, Laura Cursi, Paola Bernaschi, Cristina Russo, Andrea Campana, Stefania Bernardi, Alberto Villani, Carlo Federico Perno, Claudia Alteri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Since its emergence, SARS-CoV-2 Omicron clade has shown a marked degree of variability and different clinical presentation compared with previous clades. Here we demonstrate that at least four Omicron lineages circulated in children since De
Externí odkaz:
https://doaj.org/article/76ab070bc36d4657bd8d15dcec8bb83a
Autor:
Bernaschi, Massimo, Celestini, Alessandro, Guarino, Stefano, Mastrostefano, Enrico, Saracco, Fabio
Publikováno v:
Sci Rep 12, 18206 (2022)
Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some of its features, or to generate synthetic graphs whose properties may
Externí odkaz:
http://arxiv.org/abs/2209.10439
Tensor accelerators have gained popularity because they provide a cheap and efficient solution for speeding up computational-expensive tasks in Deep Learning and, more recently, in other Scientific Computing applications. However, since their feature
Externí odkaz:
http://arxiv.org/abs/2202.05868
Autor:
Bonaccorso, Fabio, Lauricella, Marco, Montessori, Andrea, Amati, Giorgio, Bernaschi, Massimo, Spiga, Filippo, Tiribocchi, Adriano, Succi, Sauro
We present LBcuda, a GPU accelerated version of LBsoft, our open-source MPI-based software for the simulation of multi-component colloidal flows. We describe the design principles, the optimization and the resulting performance as compared to the CPU
Externí odkaz:
http://arxiv.org/abs/2112.08264