1 citations · 1 across the 1 of their papers we have counts for
8 papers
Variability in Cosmological Hydrodynamical Simulations: how Stochastic Processes, Numerical Effects, and Reproducibility Limits impact Predictability
Chaitra, Antonio Ragagnin, Milena Valentini +3
Cosmological hydrodynamical simulations are powerful tools for studying galaxy formation, yet their predictive precision is limited by stochastic variability and numerical uncertai…
Accelerating radio astronomy imaging with RICK: a step towards SKA-Mid and SKA-Low
Giovanni Lacopo, Emanuele De Rubeis, Claudio Gheller +2
The data volumes generated by modern radio interferometers, such as the SKA precursors, present significant computational challenges for imaging pipelines. Addressing the need for…
Accelerating cosmological simulations on GPUs: a step towards sustainability and green-awareness
Giovanni Lacopo, Marius Daniel Lepinzan, David Goz +7
The increasing complexity and scale of cosmological N-body simulations, driven by astronomical surveys like Euclid, call for a paradigm shift towards more sustainable and energy-ef…
EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
Nitin Shukla, Alessandro Romeo, Caterina Caravita +36
High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology (A&C), helping scientists investigate and understand complex astrophysical phenomena. T…
Accelerating cosmological simulations on GPUs: a portable approach using OpenMP
M. D. Lepinzan, G. Lacopo, D. Goz +5
In this work we present the porting to Graphics Processing Units (GPUs, using OpenMP target directives) and optimization of a key module within the cosmological {\pinocchio} code,…
Green computing toward SKA era with RICK
Giovanni Lacopo, Claudio Gheller, Emanuele De Rubeis +5
Square Kilometer Array is expected to generate hundreds of petabytes of data per year, two orders of magnitude more than current radio interferometers. Data processing at this scal…