Scientific HPC in the pre-Exascale era

Big Data Management in MeerKAT+

Francesco Cavallaro, INAF

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.01

Accelerated radio astronomy with RICK

Emanuele De Rubeis, INAF

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.02

GREEN HPC toward SKA era with RICK

Giovanni Lacopo, Università degli Studi di Trieste

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.03

Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL

Biagio Cosenza, Università degli Studi di Salerno

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.04

Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU

Giulio Malenza, Università degli Studi di Torino

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.05

BENCHMARKING HPC PERFORMANCE FOR STATE-OF-THE-ART AI WORKLOADS

Gianluca Mittone, Università degli Studi di Torino

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.06

From Scratch to Large Pre-Trained Models. A Comparative Study for Medical Image Classification

Giovanni Lonia, Università degli Studi di Messina

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.07

AN INTRODUCTION TO THE CINECA (AND ICSC) SUPERCOMPUTING INFRASTRUCTURE: From Leonardo and beyond

Massimiliano Guarrasi, CINECA

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.08

Computational Challenges of Global Astrometry

Beatrice Bucciarelli, INAF

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.09

The Problem of the Global Astrometric Sphere Reconstruction in Astrometry. Problems and approaches

Alberto Vecchiato, INAF

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.10

The Gaia AVU-GSR solver: CPU+GPU parallel code toward Exascale systems

Valentina Cesare, INAF

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.11

CAPIO: Cross Application Programmable IO

Marco Edoardo Santimaria, Università degli Studi di Torino

DOI: https://doi.org/10.36116/VIDEOMEM_4.2024.12