PLEIADI@IRA CLUSTER: CALL4 USAGE REPORT

This report documents the usage of the INAF Pleiadi@IRA cluster computing resources during Call 4 (August 2024 – February 2025). The PLEIADI partition delivered ~250k CORE hours supporting astrophysical simulations and data processing. The LOFAR partition consumed ~510k CORE hours for radio astronomy data processing. Key infrastructure improvements include the implementation of an automatic node power-down system, reducing idle power consumption by 61%.

Authors

Publication Details

Journal
Istituto Nazionale di Astrofisica
Published
2026-02-18
DOI
https://doi.org/10.20371/inaf/techrep/372
Primary Topic
Radio Astronomy Observations and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PLEIADI@IRA CLUSTER: CALL4 USAGE REPORT

Matteo GANDOLFI, Francesco BEDOSTI
Istituto Nazionale di Astrofisica
Radio Astronomy Observations and Technology
article

PLEIADI@IRA CLUSTER: CALL4 USAGE REPORT

Matteo GANDOLFI, Francesco BEDOSTI
article en

Abstract

This report documents the usage of the INAF Pleiadi@IRA cluster computing resources during Call 4 (August 2024 – February 2025). The PLEIADI partition delivered ~250k CORE hours supporting astrophysical simulations and data processing. The LOFAR partition consumed ~510k CORE hours for radio astronomy data processing. Key infrastructure improvements include the implementation of an automatic node power-down system, reducing idle power consumption by 61%.

Istituto Nazionale di Astrofisica
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Radio Astronomy Observations and Technology
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.