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

Session

SPACE CoE

11 Jul 2024, 16:50

Aula Magna (Catania)

Conveners

SPACE CoE: II

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

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...

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...