Login

International Conference on Machine Learning for Astrophysics 2nd Ed. - ML4ASTRO2

8–12 Jul 2024
Catania
Europe/Rome timezone

ML4ASTRO SOC

Session

SPACE CoE

11 Jul 2024, 16:50
Aula Magna (Catania)

Aula Magna

Catania

Università degli Studi di Catania - Dipartimento di Fisica e Astronomia Via S. Sofia, 64, 95123 Catania CT

Conveners

SPACE CoE: II

  • Eva Sciacca (Istituto Nazionale di Astrofisica (INAF))

Presentation materials

There are no materials yet.

  1. 252. Deep learning for scientific data compression
    Lubomir Riha, Petr Strakos
    11/07/2024, 16:50

    The increasing power of the available supercomputing infrastructure and forthcoming exascale performance enables rapidly more accurate physical simulations, such as detailed high-fidelity CFD simulations or simulations from astrophysical codes. However, as the accuracy of simulations increases, the requirements for storage space also increase quickly. Results from large-scale transient...

    Go to contribution page
  2. 253. High-Performance Unsupervised Machine-Learning in Numerical Simulations and Satellite imaging
    Francesco Tomba
    11/07/2024, 17:10

    Unsupervised machine-learning (UML) techniques play a crucial role in data analytics: clustering algorithms, in particular, are widely adopted in Astronomy. We ported a UML algorithm, the Advanced Density Peak (ADP) from the original Python code to an optimized C code and parallelized it with OpenMP, speeding it up by a factor of 40. We then applied ADP, which couples extreme sensitivity to...

    Go to contribution page
Building timetable...