Practical offline workflow guide and SLURM scripts for CINECA Leonardo HPC cluster users. Includes setup, job templates, and project organization tips.
-
Updated
Mar 20, 2026 - Shell
Practical offline workflow guide and SLURM scripts for CINECA Leonardo HPC cluster users. Includes setup, job templates, and project organization tips.
High-Performance Computing project: stencil computation on 2D matrices using MPI and OpenMP, benchmarked on CINECA's Galileo100 supercomputer
CI/CD automation for HPC. It compiles and runs parallel SLURM jobs inside a Singularity container on a CINECA cluster.
Experimenting services with Docker images / composes
Support File Repo: https://gitlab.hpc.cineca.it/training/intro-fortran-bologna.git
Why are HPC monitoring signals hard to forecast? A predictability study of M100 ExaData telemetry from CINECA's Marconi100 Tier-0 supercomputer.
Link repo originale https://gitlab.hpc.cineca.it/cineca-hpyc/python-scientific-2024.git
Parallel Python tool to extract and back up Examon HPC monitoring telemetry from the Marconi100 supercomputer (CINECA). Uses ExamonQL over KairosDB to download per-metric, per-plugin time-series (Ganglia, IPMI, Slurm, Nagios, Vertiv) as daily gzipped CSVs, with incremental follow-file tracking, gap back-filling, and multiprocessing.
To associate your repository with the cineca topic, visit your repo's landing page and select "manage topics."