collaborators

5 papers

astro-ph.IM2026

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…

astro-ph.IM2025

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…

physics.plasm-ph2025

The PLUTO Code on GPUs: A First Look at Eulerian MHD Methods

Marco Rossazza, Andrea Mignone, Matteo Bugli +7

We present preliminary performance results of gPLUTO, the new GPU-optimized implementation of the PLUTO code for computational plasma astrophysics. Like its predecessor, gPLUTO emp…

cs.DC2025

Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System

Nitin Shukla, Alessandro Romeo, Caterina Caravita +16

Developing and redesigning astrophysical, cosmological, and space plasma numerical codes for existing and next-generation accelerators is critical for enabling large-scale simulati…

cs.CV2025

Accelerated Volumetric Compression without Hierarchies: A Fourier Feature Based Implicit Neural Representation Approach

Leona Žůrková, Petr Strakoš, Michal Kravčenko +2

Volumetric data compression is critical in fields like medical imaging, scientific simulation, and entertainment. We introduce a structure-free neural compression method combining…