56 citations · 127 across the 9 of their papers we have counts for
10 papers
Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing
Alessandro Celestini, Francesca Colaiori, Stefano Guarino +2
Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and s…
On the energy efficiency of sparse matrix computations on multi-GPU clusters
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra +1
We investigate the energy efficiency of a library designed for parallel computations with sparse matrices. The library leverages high-performance, energy-efficient Graphics Process…
When to Boost: How Dose Timing Determines the Epidemic Threshold
Alessandro Celestini, Francesca Colaiori, Stefano Guarino +3
Most vaccines require multiple doses, the first to induce recognition and antibody production and subsequent doses to boost the primary response and achieve optimal protection. We…
Communication-reduced Conjugate Gradient Variants for GPU-accelerated Clusters
Massimo Bernaschi, Mauro G. Carrozzo, Alessandro Celestini +2
Linear solvers are key components in any software platform for scientific and engineering computing. The solution of large and sparse linear systems lies at the core of physics-dri…
Multi-GPU aggregation-based AMG preconditioner for iterative linear solvers
Massimo Bernaschi, Alessandro Celestini, Pasqua D'Ambra +1
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…
The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks
Massimo Bernaschi, Alessandro Celestini, Stefano Guarino +2
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…
Onion under Microscope: An in-depth analysis of the Tor network
Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia +3
Tor is an anonymity network that allows offering and accessing various kinds of resources, known as hidden services, while guaranteeing sender and receiver anonymity. The Tor web i…
Inferring urban social networks from publicly available data
Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi +4
The emergence of social networks and the definition of suitable generative models for synthetic yet realistic social graphs are widely studied problems in the literature. By not be…
Information disorders on Italian Facebook during COVID-19 infodemic
Alessandro Celestini, Marco Di Giovanni, Stefano Guarino +1
In this work we carry out an exploratory analysis of online conversations on the Italian Facebook during the recent COVID-19 pandemic. We analyze the circulation of controversial t…
Characterizing networks of propaganda on Twitter: a case study
Stefano Guarino, Noemi Trino, Alessandro Celestini +2
The daily exposure of social media users to propaganda and disinformation campaigns has reinvigorated the need to investigate the local and global patterns of diffusion of differen…