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20022026
most citedChemical enrichment in cosmological, smoothed particle hydrodynamics simulations

687 citations · 5.7k across the 78 of their papers we have counts for

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14 papers · 1 filter

astro-ph.IM2026

Fast and accurate astronomical source deblending with Density-Peak Clustering

M. D. Lepinzan, F. Tomba, E. Romelli +2

Source deblending is a fundamental challenge for current and forthcoming astronomical surveys, where increasing source density and image depth lead to a growing number of overlappi…

astro-ph.IM2026

The OpenGadget3 Code for Cosmological Simulations

Klaus Dolag, Geray S. Karademir, Luca Tornatore +28

We present the public release of OpenGadget3 (OG3), a substantially extended and re-organised version of the widely used Gadget-2/3 family of cosmological simulation codes. Since G…

astro-ph.IM2026

OpenGadget3 GPU solver tests

A. Ragagnin, G. S. Karademir, F. Groth +6

We present an in-depth evaluation of the scalability and accuracy of the GPU porting of the N-body code for hydrodynamic cosmological simulations \og. While technical details of ou…

astro-ph.IM2026

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…

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★ 7 cited

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…

astro-ph.IM2024

Accelerating radio astronomy imaging with RICK

Emanuele De Rubeis, Giovanni Lacopo, Claudio Gheller +2

This paper presents an implementation of radio astronomy imaging algorithms on modern High Performance Computing (HPC) infrastructures, exploiting distributed memory parallelism an…

astro-ph.IM2020

Performance and energy footprint assessment of FPGAs and GPUs on HPC systems using Astrophysics application

David Goz, Georgios Ieronymakis, Vassilis Papaefstathiou +7

New challenges in Astronomy and Astrophysics (AA) are urging the need for a large number of exceptionally computationally intensive simulations. "Exascale" (and beyond) computation…

astro-ph.IM2019★ 16 cited

INAF Trieste Astronomical Observatory Information Technology Framework

S. Bertocco, D. Goz, L. Tornatore +6

INAF Trieste Astronomical Observatory (OATs) has a long tradition in information technology applied to Astronomical and Astrophysical use cases, particularly for what regards compu…

astro-ph.IM2019★ 1 cited

Shall numerical astrophysics step into the era of Exascale computing?

Giuliano Taffoni, Giuseppe Murante, Luca Tornatore +5

High performance computing numerical simulations are today one of the more effective instruments to implement and study new theoretical models, and they are mandatory during the pr…

astro-ph.IM2019★ 2 cited

Direct -body code on low-power embedded ARM GPUs

David Goz, Sara Bertocco, Luca Tornatore +1

This work arises on the environment of the ExaNeSt project aiming at design and development of an exascale ready supercomputer with low energy consumption profile but able to suppo…

astro-ph.IM2018★ 1 cited

Astrophysical code migration into Exascale Era

David Goz, Sara Bertocco, Luca Tornatore +1

The ExaNeSt and EuroExa H2020 EU-funded projects aim to design and develop an exascale ready computing platform prototype based on low-energy-consumption ARM64 cores and FPGA accel…

astro-ph.IM2017★ 1 cited

Cosmological Simulations in Exascale Era

D. Goz, L. Tornatore, G. Taffoni +1

The architecture of Exascale computing facilities, which involves millions of heterogeneous processing units, will deeply impact on scientific applications. Future astrophysical HP…

astro-ph.IM2010

A decline and fall in the future of Italian Astronomy?

Angelo Antonelli, Vincenzo Antonuccio-Delogu, Andrea Baruffolo +89

On May 27th 2010, the Italian astronomical community learned with concern that the National Institute for Astrophysics (INAF) was going to be suppressed, and that its employees wer…