Scientific Data (May 2023)

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer

  • Andrea Borghesi,
  • Carmine Di Santi,
  • Martin Molan,
  • Mohsen Seyedkazemi Ardebili,
  • Alessio Mauri,
  • Massimiliano Guarrasi,
  • Daniela Galetti,
  • Mirko Cestari,
  • Francesco Barchi,
  • Luca Benini,
  • Francesco Beneventi,
  • Andrea Bartolini

DOI
https://doi.org/10.1038/s41597-023-02174-3
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

Read online

Abstract Supercomputers are the most powerful computing machines available to society. They play a central role in economic, industrial, and societal development. While they are used by scientists, engineers, decision-makers, and data-analyst to computationally solve complex problems, supercomputers and their hosting datacenters are themselves complex power-hungry systems. Improving their efficiency, availability, and resiliency is vital and the subject of many research and engineering efforts. Still, a major roadblock hinders researchers: dearth of reliable data describing the behavior of production supercomputers. In this paper, we present the result of a ten-year-long project to design a monitoring framework (EXAMON) deployed at the Italian supercomputers at CINECA datacenter. We disclose the first holistic dataset of a tier-0 Top10 supercomputer. It includes the management, workload, facility, and infrastructure data of the Marconi100 supercomputer for two and half years of operation. The dataset (published via Zenodo) is the largest ever made public, with a size of 49.9TB before compression. We also provide open-source software modules to simplify access to the data and provide direct usage examples.