activity
20142026
most citedINAF Trieste Astronomical Observatory Information Technology Framework

16 citations · 36 across the 14 of their papers we have counts for

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Showing astro-ph.IMShow all

11 papers · 1 filter

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

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,…

astro-ph.IM2023

Requirements analysis for HPC\&HTC infrastructures integration in ESCAPE Science Analysis Platform

S. Bertocco, D. Goz, S. A. Russo +2

ESCAPE (European Science Cluster of Astronomy and Particle physics ESFRI research infrastructures) is a project to set up a cluster of ESFRI (European Strategy Forum on Research In…

astro-ph.IM2023

High Performance W-stacking for Imaging Radio Astronomy Data: a Parallel and Accelerated Solution

Claudio Gheller, Giuliano Taffoni, David Goz

Current and upcoming radio-interferometers are expected to produce volumes of data of increasing size that need to be processed in order to generate the corresponding sky brightnes…

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.IM2020★ 3 cited

Gadget3 on GPUs with OpenACC

Antonio Ragagnin, Klaus Dolag, Mathias Wagner +5

We present preliminary results of a GPU porting of all main Gadget3 modules (gravity computation, SPH density computation, SPH hydrodynamic force, and thermal conduction) using Ope…

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…